Antonio Plaza
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Computer Science
Antonio Plaza's Degrees
- PhD Computer Science Complutense University of Madrid
- Masters Artificial Intelligence University of Barcelona
- Bachelors Computer Engineering University of Valencia
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Why Is Antonio Plaza Influential?
(Suggest an Edit or Addition)According to Wikipedia, Antonio Plaza from the University of Extremadura, Caceres, Spain was named Fellow of the Institute of Electrical and Electronics Engineers in 2015 for contributions to hyperspectral data processing and parallel computing of Earth observation data.
Antonio Plaza's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches (2012) (2266)
- Recent Advances in Techniques for Hyperspectral Image Processing (2009) (1471)
- Hyperspectral Remote Sensing Data Analysis and Future Challenges (2013) (1373)
- Image Segmentation Using Deep Learning: A Survey (2020) (1116)
- Sparse Unmixing of Hyperspectral Data (2011) (861)
- A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data (2004) (639)
- Spectral–Spatial Hyperspectral Image Segmentation Using Subspace Multinomial Logistic Regression and Markov Random Fields (2012) (610)
- Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing (2012) (570)
- Spatial/spectral endmember extraction by multidimensional morphological operations (2002) (555)
- Graph Convolutional Networks for Hyperspectral Image Classification (2020) (554)
- Land Surface Emissivity Retrieval From Different VNIR and TIR Sensors (2008) (524)
- Semisupervised Hyperspectral Image Segmentation Using Multinomial Logistic Regression With Active Learning (2010) (475)
- Generalized Composite Kernel Framework for Hyperspectral Image Classification (2013) (435)
- Advanced Spectral Classifiers for Hyperspectral Images: A review (2017) (408)
- Deep learning classifiers for hyperspectral imaging: A review (2019) (404)
- Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations (2005) (403)
- Hyperspectral Image Segmentation Using a New Bayesian Approach With Active Learning (2011) (401)
- Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art (2017) (398)
- A new deep convolutional neural network for fast hyperspectral image classification (2017) (377)
- A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing (2014) (352)
- Collaborative Sparse Regression for Hyperspectral Unmixing (2014) (351)
- Earth system science related imaging spectroscopy — an assessment (2009) (339)
- Big Data for Remote Sensing: Challenges and Opportunities (2016) (312)
- Spectral–Spatial Classification of Hyperspectral Data Using Loopy Belief Propagation and Active Learning (2013) (305)
- Multiple Feature Learning for Hyperspectral Image Classification (2015) (288)
- Anomaly Detection in Hyperspectral Images Based on Low-Rank and Sparse Representation (2016) (279)
- A fast iterative algorithm for implementation of pixel purity index (2006) (275)
- High Performance Computing in Remote Sensing (2007) (264)
- Deep Pyramidal Residual Networks for Spectral–Spatial Hyperspectral Image Classification (2019) (249)
- SpectralFormer: Rethinking Hyperspectral Image Classification With Transformers (2021) (241)
- Spatial Preprocessing for Endmember Extraction (2009) (230)
- High Performance Computing for Hyperspectral Remote Sensing (2011) (215)
- Commodity cluster-based parallel processing of hyperspectral imagery (2006) (211)
- Capsule Networks for Hyperspectral Image Classification (2019) (210)
- Retrieving sup-pixel land cover composition through an effective integration of the spatial, spectral, and temporal dimensions of MERIS imagery (2005) (194)
- Remotely Sensed Image Classification Using Sparse Representations of Morphological Attribute Profiles (2014) (178)
- Semisupervised Self-Learning for Hyperspectral Image Classification (2013) (174)
- Active Learning With Convolutional Neural Networks for Hyperspectral Image Classification Using a New Bayesian Approach (2018) (173)
- Remote Sensing Scene Classification Using Multilayer Stacked Covariance Pooling (2018) (172)
- Automated Extraction of Image-Based Endmember Bundles for Improved Spectral Unmixing (2012) (157)
- Spatial-Spectral Preprocessing Prior to Endmember Identification and Unmixing of Remotely Sensed Hyperspectral Data (2012) (153)
- Foreword to the Special Issue on Spectral Unmixing of Remotely Sensed Data (2011) (152)
- Weighted-RXD and Linear Filter-Based RXD: Improving Background Statistics Estimation for Anomaly Detection in Hyperspectral Imagery (2014) (151)
- Impact of Initialization on Design of Endmember Extraction Algorithms (2006) (150)
- Analysis and Optimizations of Global and Local Versions of the RX Algorithm for Anomaly Detection in Hyperspectral Data (2013) (149)
- Feature Extraction With Multiscale Covariance Maps for Hyperspectral Image Classification (2019) (145)
- Parallel Hyperspectral Image and Signal Processing [Applications Corner] (2011) (144)
- Semisupervised Hyperspectral Image Classification Using Soft Sparse Multinomial Logistic Regression (2013) (144)
- Minimum Volume Simplex Analysis: A Fast Algorithm for Linear Hyperspectral Unmixing (2015) (139)
- Robust Collaborative Nonnegative Matrix Factorization for Hyperspectral Unmixing (2015) (137)
- Fusion of Hyperspectral and LiDAR Remote Sensing Data Using Multiple Feature Learning (2015) (132)
- Comparison Between Fractional Vegetation Cover Retrievals from Vegetation Indices and Spectral Mixture Analysis: Case Study of PROBA/CHRIS Data Over an Agricultural Area (2009) (132)
- A Quantitative and Comparative Assessment of Unmixing-Based Feature Extraction Techniques for Hyperspectral Image Classification (2012) (129)
- A new approach to mixed pixel classification of hyperspectral imagery based on extended morphological profiles (2004) (129)
- DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing (2019) (129)
- A New Spatial–Spectral Feature Extraction Method for Hyperspectral Images Using Local Covariance Matrix Representation (2018) (128)
- Support Tensor Machines for Classification of Hyperspectral Remote Sensing Imagery (2016) (128)
- MUSIC-CSR: Hyperspectral Unmixing via Multiple Signal Classification and Collaborative Sparse Regression (2014) (124)
- Spectral–Spatial Weighted Sparse Regression for Hyperspectral Image Unmixing (2018) (120)
- Region-Based Spatial Preprocessing for Endmember Extraction and Spectral Unmixing (2011) (118)
- A New Deep Generative Network for Unsupervised Remote Sensing Single-Image Super-Resolution (2018) (116)
- Survey of geometric and statistical unmixing algorithms for hyperspectral images (2010) (115)
- Automatic Framework for Spectral–Spatial Classification Based on Supervised Feature Extraction and Morphological Attribute Profiles (2014) (114)
- Scale-Free Convolutional Neural Network for Remote Sensing Scene Classification (2019) (113)
- On the use of small training sets for neural network-based characterization of mixed pixels in remotely sensed hyperspectral images (2009) (110)
- Spectral–Spatial Classification of Hyperspectral Data Using Local and Global Probabilities for Mixed Pixel Characterization (2014) (108)
- Discriminative Low-Rank Gabor Filtering for Spectral–Spatial Hyperspectral Image Classification (2017) (105)
- Subspace-Based Support Vector Machines for Hyperspectral Image Classification (2015) (104)
- On Endmember Identification in Hyperspectral Images Without Pure Pixels: A Comparison of Algorithms (2012) (99)
- Pansharpening via Detail Injection Based Convolutional Neural Networks (2018) (99)
- On the Impact of Lossy Compression on Hyperspectral Image Classification and Unmixing (2011) (94)
- Parallel and Distributed Dimensionality Reduction of Hyperspectral Data on Cloud Computing Architectures (2016) (92)
- The Promise of Reconfigurable Computing for Hyperspectral Imaging Onboard Systems: A Review and Trends (2013) (91)
- HYCA: A New Technique for Hyperspectral Compressive Sensing (2015) (91)
- Skip-Connected Covariance Network for Remote Sensing Scene Classification (2020) (90)
- A Signal Processing Perspective on Hyperspectral Unmixing (2014) (89)
- GPU Implementation of an Automatic Target Detection and Classification Algorithm for Hyperspectral Image Analysis (2013) (89)
- Hyperspectral Image Segmentation Using a New Spectral Unmixing-Based Binary Partition Tree Representation (2014) (89)
- Hyperspectral unmixing: geometrical, statistical, and sparse regression-based approaches (2010) (86)
- Use of FPGA or GPU-based architectures for remotely sensed hyperspectral image processing (2013) (86)
- Hyperspectral Unmixing Using Sparsity-Constrained Deep Nonnegative Matrix Factorization With Total Variation (2018) (85)
- Cloud implementation of the K-means algorithm for hyperspectral image analysis (2016) (83)
- Spectral–Spatial Classification of Multispectral Images Using Kernel Feature Space Representation (2014) (82)
- Visual Attention-Driven Hyperspectral Image Classification (2019) (80)
- Recent Developments in Endmember Extraction and Spectral Unmixing (2011) (80)
- New Postprocessing Methods for Remote Sensing Image Classification: A Systematic Study (2014) (80)
- On Understanding Big Data Impacts in Remotely Sensed Image Classification Using Support Vector Machine Methods (2015) (79)
- Probabilistic-Kernel Collaborative Representation for Spatial–Spectral Hyperspectral Image Classification (2016) (78)
- Parallel Morphological Endmember Extraction Using Commodity Graphics Hardware (2007) (77)
- Fusion of Hyperspectral and LiDAR Data Using Sparse and Low-Rank Component Analysis (2017) (77)
- Hyperspectral Unmixing on GPUs and Multi-Core Processors: A Comparison (2013) (77)
- Cloud Removal Based on Sparse Representation via Multitemporal Dictionary Learning (2016) (75)
- A Quantitative and Comparative Analysis of Different Implementations of N-FINDR: A Fast Endmember Extraction Algorithm (2009) (74)
- An overview on hyperspectral unmixing: Geometrical, statistical, and sparse regression based approaches (2011) (73)
- FPGA Implementation of the N-FINDR Algorithm for Remotely Sensed Hyperspectral Image Analysis (2012) (71)
- A New Sparse Subspace Clustering Algorithm for Hyperspectral Remote Sensing Imagery (2017) (70)
- Deep&Dense Convolutional Neural Network for Hyperspectral Image Classification (2018) (69)
- A Discontinuity Preserving Relaxation Scheme for Spectral–Spatial Hyperspectral Image Classification (2016) (69)
- Parallel implementation of endmember extraction algorithms from hyperspectral data (2006) (68)
- An improved N-FINDR algorithm in implementation (2005) (67)
- A new extended linear mixing model to address spectral variability (2014) (67)
- Sparse Unmixing-Based Change Detection for Multitemporal Hyperspectral Images (2016) (64)
- Hyperspectral Unmixing Using Double Reweighted Sparse Regression and Total Variation (2017) (63)
- FPGA Implementation of the Pixel Purity Index Algorithm for Remotely Sensed Hyperspectral Image Analysis (2010) (63)
- Regional Clustering-Based Spatial Preprocessing for Hyperspectral Unmixing (2018) (62)
- A Single Model CNN for Hyperspectral Image Denoising (2020) (62)
- Multiple Morphological Profiles From Multicomponent-Base Images for Hyperspectral Image Classification (2014) (58)
- Pixel purity index-based algorithms for endmember extraction from hyperspectral imagery (2006) (57)
- Endmember extraction algorithms from hyperspectral images (2006) (57)
- Informative Change Detection by Unmixing for Hyperspectral Images (2015) (57)
- GPU Parallel Implementation of Spatially Adaptive Hyperspectral Image Classification (2018) (57)
- Remote Sensing Image Superresolution Using Deep Residual Channel Attention (2019) (56)
- Hyperspectral Unmixing Based on Local Collaborative Sparse Regression (2016) (56)
- Unmixing Prior to Supervised Classification of Remotely Sensed Hyperspectral Images (2011) (55)
- Hyperspectral Image Classification Using Random Occlusion Data Augmentation (2019) (55)
- Real-time implementation of remotely sensed hyperspectral image unmixing on GPUs (2015) (55)
- Automatic Change Detection in High-Resolution Remote Sensing Images by Using a Multiple Classifier System and Spectral–Spatial Features (2016) (55)
- Parallel unmixing of remotely sensed hyperspectral images on commodity graphics processing units (2011) (55)
- Multiple Morphological Component Analysis Based Decomposition for Remote Sensing Image Classification (2016) (54)
- A Subspace-Based Multinomial Logistic Regression for Hyperspectral Image Classification (2014) (54)
- Improving the Performance of Hyperspectral Image and Signal Processing Algorithms Using Parallel, Distributed and Specialized Hardware-Based Systems (2010) (54)
- Clusters Versus FPGA for Parallel Processing of Hyperspectral Imagery (2008) (54)
- Deep Unsupervised Embedding for Remotely Sensed Images Based on Spatially Augmented Momentum Contrast (2020) (53)
- Hybrid first and second order attention Unet for building segmentation in remote sensing images (2020) (53)
- Spatio-temporal fusion for remote sensing data: an overview and new benchmark (2020) (53)
- FPGA Implementation of Abundance Estimation for Spectral Unmixing of Hyperspectral Data Using the Image Space Reconstruction Algorithm (2012) (52)
- Special issue on architectures and techniques for real-time processing of remotely sensed images (2009) (51)
- Clusters versus GPUs for Parallel Target and Anomaly Detection in Hyperspectral Images (2010) (51)
- Learning Discriminative Sparse Representations for Hyperspectral Image Classification (2015) (50)
- A New Minimum-Volume Enclosing Algorithm for Endmember Identification and Abundance Estimation in Hyperspectral Data (2012) (49)
- Multi-Channel Morphological Profiles for Classification of Hyperspectral Images Using Support Vector Machines (2009) (48)
- Real-Time Implementation of the Pixel Purity Index Algorithm for Endmember Identification on GPUs (2014) (47)
- On the use of spectral libraries to perform sparse unmixing of hyperspectral data (2010) (46)
- Deep Metric Learning Based on Scalable Neighborhood Components for Remote Sensing Scene Characterization (2020) (46)
- Impact of platform heterogeneity on the design of parallel algorithms for morphological processing of high-dimensional image data (2007) (45)
- Remote Sensing Image Fusion Using Hierarchical Multimodal Probabilistic Latent Semantic Analysis (2018) (44)
- Sparse Unmixing With Dictionary Pruning for Hyperspectral Change Detection (2017) (44)
- Spatial Discontinuity-Weighted Sparse Unmixing of Hyperspectral Images (2018) (43)
- One-Class Classification of Remote Sensing Images Using Kernel Sparse Representation (2016) (42)
- A New Cloud Computing Architecture for the Classification of Remote Sensing Data (2017) (42)
- Semi-supervised hyperspectral image segmentation (2009) (42)
- An experimental comparison of parallel algorithms for hyperspectral analysis using heterogeneous and homogeneous networks of workstations (2008) (41)
- Real-Time Implementation of the Vertex Component Analysis Algorithm on GPUs (2013) (41)
- Hyperspectral band selection using a collaborative sparse model (2012) (40)
- Thin Cloud Removal Based on Signal Transmission Principles and Spectral Mixture Analysis (2016) (40)
- CLASSIFICATION ALGORITHMS FOR BIG DATA ANALYSIS, A MAP REDUCE APPROACH (2015) (40)
- HyperPNN: Hyperspectral Pansharpening via Spectrally Predictive Convolutional Neural Networks (2019) (39)
- Hyperspectral Classification With Noisy Label Detection via Superpixel-to-Pixel Weighting Distance (2020) (39)
- Hyperspectral Unmixing Based on Dual-Depth Sparse Probabilistic Latent Semantic Analysis (2018) (39)
- Ghostnet for Hyperspectral Image Classification (2021) (38)
- Incorporation of spatial constraints into spectral mixture analysis of remotely sensed hyperspectral data (2009) (38)
- NONLINEAR NEURAL NETWORK MIXTURE MODELS FOR FRACTIONAL ABUNDANCE ESTIMATION IN AVIRIS HYPERSPECTRAL IMAGES (2005) (38)
- An Efficient and Scalable Framework for Processing Remotely Sensed Big Data in Cloud Computing Environments (2019) (38)
- Hashing Nets for Hashing: A Quantized Deep Learning to Hash Framework for Remote Sensing Image Retrieval (2020) (38)
- Parallel Hyperspectral Unmixing on GPUs (2014) (37)
- Collaborative nonnegative matrix factorization for remotely sensed hyperspectral unmixing (2012) (37)
- Remotely sensed big data: evolution in model development for information extraction [point of view] (2019) (37)
- Automatic tuning of iterative computation on heterogeneous multiprocessors with ADITHE (2011) (37)
- Fast dimensionality reduction and classification of hyperspectral images with extreme learning machines (2018) (37)
- Oil Spill Detection via Multitemporal Optical Remote Sensing Images: A Change Detection Perspective (2017) (37)
- Characterization of Soil Erosion Indicators Using Hyperspectral Data From a Mediterranean Rainfed Cultivated Region (2016) (37)
- Advanced processing of hyperspectral images (2006) (36)
- Joint linear/nonlinear spectral unmixing of hyperspectral image data (2007) (36)
- A New Genetic Method for Subpixel Mapping Using Hyperspectral Images (2016) (36)
- A new sensor bias-driven spatio-temporal fusion model based on convolutional neural networks (2020) (36)
- Graph Relation Network: Modeling Relations Between Scenes for Multilabel Remote-Sensing Image Classification and Retrieval (2020) (36)
- FPGA Implementation of an Algorithm for Automatically Detecting Targets in Remotely Sensed Hyperspectral Images (2016) (35)
- Dual-Mode FPGA Implementation of Target and Anomaly Detection Algorithms for Real-Time Hyperspectral Imaging (2015) (35)
- Recent developments in sparse hyperspectral unmixing (2010) (35)
- Parallel Spatial–Spectral Hyperspectral Image Classification With Sparse Representation and Markov Random Fields on GPUs (2015) (33)
- Automated selection of results in hierarchical segmentations of remotely sensed hyperspectral images (2005) (33)
- Superpixel-Based Active Learning and Online Feature Importance Learning for Hyperspectral Image Analysis (2017) (32)
- A Hybrid CPU–GPU Real-Time Hyperspectral Unmixing Chain (2016) (32)
- A New Hybrid Strategy Combining Semisupervised Classification and Unmixing of Hyperspectral Data (2014) (32)
- Deep Learning for Land Cover Classification Using Only a Few Bands (2020) (32)
- Approximate Computing of Remotely Sensed Data: SVM Hyperspectral Image Classification as a Case Study (2016) (32)
- Nonlinear Hyperspectral Unmixing Using Nonlinearity Order Estimation and Polytope Decomposition (2015) (32)
- Structured Sparse Coding-Based Hyperspectral Imagery Denoising With Intracluster Filtering (2017) (32)
- Parallel Implementation of Sparse Representation Classifiers for Hyperspectral Imagery on GPUs (2015) (32)
- Fast determination of the number of endmembers for real-time hyperspectral unmixing on GPUs (2014) (31)
- A new parallel tool for classification of remotely sensed imagery (2012) (31)
- Anomaly detection based on a parallel kernel RX algorithm for multicore platforms (2012) (31)
- Hyperspectral unmixingwith sparse group lasso (2011) (31)
- A3 CLNN: Spatial, Spectral and Multiscale Attention ConvLSTM Neural Network for Multisource Remote Sensing Data Classification (2020) (30)
- Remote Sensing Image Classification Using Attribute Filters Defined Over the Tree of Shapes (2016) (30)
- Harmonic Mixture Modeling for Efficient Nonlinear Hyperspectral Unmixing (2016) (30)
- A Dynamic Unmixing Framework for Plant Production System Monitoring (2014) (30)
- Graphics processing unit implementation of JPEG2000 for hyperspectral image compression (2012) (29)
- FPGA Design of an Automatic Target Generation Process for Hyperspectral Image Analysis (2011) (29)
- Multi-GPU Implementation of the Minimum Volume Simplex Analysis Algorithm for Hyperspectral Unmixing (2014) (29)
- Real-Time Implementation of the Sparse Multinomial Logistic Regression for Hyperspectral Image Classification on GPUs (2015) (29)
- Spectral Mixture Analysis of Hyperspectral Scenes Using Intelligently Selected Training Samples (2010) (29)
- Adaptive Deep Pyramid Matching for Remote Sensing Scene Classification (2016) (29)
- Robust Matrix Discriminative Analysis for Feature Extraction From Hyperspectral Images (2017) (29)
- Scheduling-Guided Automatic Processing of Massive Hyperspectral Image Classification on Cloud Computing Architectures (2020) (28)
- Remote Sensing Single-Image Superresolution Based on a Deep Compendium Model (2019) (27)
- Probabilistic anomaly detector for remotely sensed hyperspectral data (2014) (27)
- Spatial Technology and Social Media in Remote Sensing: A Survey (2017) (27)
- Comparison of support vector machine-based processing chains for hyperspectral image classification (2010) (26)
- Parallel heterogeneous CBIR system for efficient hyperspectral image retrieval using spectral mixture analysis (2010) (26)
- Multimodal Probabilistic Latent Semantic Analysis for Sentinel-1 and Sentinel-2 Image Fusion (2018) (26)
- Unmixing-based content retrieval system for remotely sensed hyperspectral imagery on GPUs (2014) (26)
- H-COMP: a tool for quantitative and comparative analysis of endmember identification algorithms (2003) (25)
- Accelerating Convolutional Neural Network-Based Hyperspectral Image Classification by Step Activation Quantization (2021) (25)
- Foreword to the Special Issue on High Performance Computing in Earth Observation and Remote Sensing (2011) (25)
- GPU implementation of target and anomaly detection algorithms for remotely sensed hyperspectral image analysis (2010) (25)
- Multisource Data Reconstruction-Based Deep Unsupervised Hashing for Unisource Remote Sensing Image Retrieval (2022) (25)
- An Accurate Vegetation and Non-Vegetation Differentiation Approach Based on Land Cover Classification (2020) (25)
- Fluorescence explorer (FLEX): an optimised payload to map vegetation photosynthesis from space (2006) (25)
- Multiple Algorithm Integration Based on Ant Colony Optimization for Endmember Extraction From Hyperspectral Imagery (2015) (24)
- Cloud implementation of logistic regression for hyperspectral image classification (2018) (24)
- Scalable recurrent neural network for hyperspectral image classification (2020) (24)
- Semi-supervised hyperspectral image classification based on a Markov random field and sparse multinomial logistic regression (2009) (24)
- Inference in Supervised Spectral Classifiers for On-Board Hyperspectral Imaging: An Overview (2020) (24)
- Unmixing sparse hyperspectral mixtures (2009) (24)
- A new technique for hyperspectral compressive sensing using spectral unmixing (2012) (24)
- Parallel hyperspectral image processing on commodity graphics hardware (2006) (24)
- Spatial/Spectral analysis of hyperspectral image data (2003) (24)
- Spectral/spatial hyperspectral image compression in conjunction with virtual dimensionality (2005) (24)
- A hybrid ensemble-based deep-learning framework for landslide susceptibility mapping (2022) (23)
- Low–High-Power Consumption Architectures for Deep-Learning Models Applied to Hyperspectral Image Classification (2019) (23)
- The Future of Imaging Spectroscopy Prospective Technologies and Applications (2006) (23)
- A New Preprocessing Technique for Fast Hyperspectral Endmember Extraction (2013) (23)
- Multisensor Coupled Spectral Unmixing for Time-Series Analysis (2017) (23)
- Hyperspectral coded aperture (HYCA): A new technique for hyperspectral compressive sensing (2012) (23)
- GPU implementation of the pixel purity index algorithm for hyperspectral image analysis (2010) (23)
- Mapping oil spills on sea water using spectral mixture analysis of hyperspectral image data (2005) (23)
- Comparative analysis of different implementations of a parallel algorithm for automatic target detection and classification of hyperspectral images (2009) (22)
- Efficient Implementation of Hyperspectral Anomaly Detection Techniques on GPUs and Multicore Processors (2014) (22)
- Performance of Change Detection Algorithms Using Heterogeneous Images and Extended Multi-attribute Profiles (EMAPs) (2019) (22)
- Spectral/Spatial Hyperspectral Image Compression (2006) (22)
- A Novel Negative Abundance‐Oriented Hyperspectral Unmixing Algorithm (2015) (22)
- Complementarity of Discriminative Classifiers and Spectral Unmixing Techniques for the Interpretation of Hyperspectral Images (2015) (22)
- PiCoCo: Pixelwise Contrast and Consistency Learning for Semisupervised Building Footprint Segmentation (2021) (21)
- Fast anomaly detection in hyperspectral images with RX method on heterogeneous clusters (2011) (21)
- Hyperspectral Image Classification using a Self-Organizing Map (2001) (21)
- GPU implementation of fully constrained linear spectral unmixing for remotely sensed hyperspectral data exploitation (2010) (21)
- A New GPU Implementation of Support Vector Machines for Fast Hyperspectral Image Classification (2020) (21)
- Morphological Convolutional Neural Networks for Hyperspectral Image Classification (2021) (21)
- A new method for target detection in hyperspectral imagery based on extended morphological profiles (2003) (21)
- Normal Endmember Spectral Unmixing Method for Hyperspectral Imagery (2015) (21)
- Nonlinear mixture models for analyzing laboratory simulated-forest hyperspectral data (2004) (21)
- FRACTIONAL VEGETATION COVER ESTIMATION FROM PROBA / CHRIS DATA : METHODS , ANALYSIS OF ANGULAR EFFECTS AND APPLICATION TO THE LAND SURFACE EMISSIVITY RETRIEVAL (2005) (20)
- Dictionary pruning in sparse unmixing of hyperspectral data (2012) (20)
- Multibranch Selective Kernel Networks for Hyperspectral Image Classification (2021) (20)
- FPGA-Based Hyperspectral Data Compression Using Spectral Unmixing and the Pixel Purity Index Algorithm (2006) (20)
- Cluster versus GPU implementation of an Orthogonal Target Detection Algorithm for Remotely Sensed Hyperspectral Images (2010) (20)
- Improving Land Cover Classification Using Extended Multi-Attribute Profiles (EMAP) Enhanced Color, Near Infrared, and LiDAR Data (2020) (20)
- Nonnegative sparse autoencoder for robust endmember extraction from remotely sensed hyperspectral images (2017) (19)
- Deep Autoencoders With Multitask Learning for Bilinear Hyperspectral Unmixing (2021) (19)
- GPU Implementation of Composite Kernels for Hyperspectral Image Classification (2015) (19)
- Hyperspectral Anomaly Detection Using Dual Window Density (2020) (19)
- Real-Time Endmember Extraction on Multicore Processors (2011) (19)
- Multimodal Fusion Transformer for Remote Sensing Image Classification (2022) (19)
- A real-time unsupervised background extraction-based target detection method for hyperspectral imagery (2018) (19)
- Unsupervised Remote Sensing Image Retrieval Using Probabilistic Latent Semantic Hashing (2021) (19)
- Parallel Processing of Remotely Sensed Hyperspectral Images On Heterogeneous Networks of Workstations Using HeteroMPI (2008) (18)
- A New Algorithm for Bilinear Spectral Unmixing of Hyperspectral Images Using Particle Swarm Optimization (2016) (18)
- Real-Time Identification of Hyperspectral Subspaces (2014) (18)
- Using Linear Spectral Unmixing for Subpixel Mapping of Hyperspectral Imagery: A Quantitative Assessment (2017) (18)
- A New Spectral-Spatial Sub-Pixel Mapping Model for Remotely Sensed Hyperspectral Imagery (2018) (18)
- Nonlinear neural-network-based mixture model for estimating the concentration of nitrogen salts in turbid inland waters using hyperspectral imagery (2004) (18)
- Utilizing Hierarchical Segmentation to Generate Water and Snow Masks to Facilitate Monitoring Change with Remotely Sensed Image Data (2006) (18)
- AMEEPAR: Parallel Morphological Algorithm for Hyperspectral Image Classification on Heterogeneous Networks of Workstations (2006) (18)
- Joint Sparse Sub-Pixel Mapping Model with Endmember Variability for Remotely Sensed Imagery (2016) (18)
- FPGA design and implementation of a fast pixel purity index algorithm for endmember extraction in hyperspectral imagery (2005) (18)
- Exploiting spatial information in semi-supervised hyperspectral image segmentation (2010) (18)
- Fast implementation of pixel purity index algorithm (2005) (17)
- Cloud Implementation of a Full Hyperspectral Unmixing Chain Within the NASA Web Coverage Processing Service for EO-1 (2013) (17)
- Naive Gabor Networks for Hyperspectral Image Classification (2019) (17)
- Spectral-Fidelity Convolutional Neural Networks for Hyperspectral Pansharpening (2020) (17)
- A Novel Semi-Supervised Method for Obtaining Finer Resolution Urban Extents Exploiting Coarser Resolution Maps (2014) (17)
- Automated generation of semi-labeled training samples for nonlinear neural network-based abundance estimation in hyperspectral data (2005) (17)
- Fusion of hyperspectral and LiDAR data using morphological component analysis (2016) (17)
- Cloud Deep Networks for Hyperspectral Image Analysis (2019) (16)
- Advanced Supervised Spectral Classifiers for Hyperspectral Images : A Review (2016) (16)
- Foreword to the Special Issue on Hyperspectral Image and Signal Processing (2012) (16)
- Parallel hyperspectral image processing on distributed multicluster systems (2011) (16)
- Semi-Supervised Self Learning for Hyperspectral Image Classification (2012) (16)
- Special focus on deep learning in remote sensing image processing (2020) (16)
- Parallel morphological/neural processing of hyperspectral images using heterogeneous and homogeneous platforms (2008) (16)
- Landslide Detection Using Densely Connected Convolutional Networks and Environmental Conditions (2021) (16)
- Supervised hyperspectral image segmentation using active learning (2010) (16)
- Performance versus energy consumption of hyperspectral unmixing algorithms on multi-core platforms (2013) (16)
- Active learning based autoencoder for hyperspectral imagery classification (2016) (15)
- Parallel Implementation of a Full Hyperspectral Unmixing Chain Using OpenCL (2017) (15)
- A new system to perform unsupervised and supervised classification of satellite images from Google Maps (2010) (15)
- A NEW TOOL FOR EVALUATING SPECTRAL UNMIXING APPLICATIONS FOR REMOTELY SENSED HYPERSPECTRAL IMAGE ANALYSIS (2012) (15)
- Parallel techniques for information extraction from hyperspectral imagery using heterogeneous networks of workstations (2008) (15)
- Fast Spatial Preprocessing for Spectral Unmixing of Hyperspectral Data on Graphics Processing Units (2016) (15)
- Parallel Hyperspectral Coded Aperture for Compressive Sensing on GPUs (2016) (15)
- Recognition and Mapping of Landslide Using a Fully Convolutional DenseNet and Influencing Factors (2021) (15)
- Parallel Implementation of Target and Anomaly Detection Algorithms for Hyperspectral Imagery (2008) (14)
- Neural Ordinary Differential Equations for Hyperspectral Image Classification (2020) (14)
- Parallel Classification of Hyperspectral Images Using Neural Networks (2008) (14)
- Semi-supervised hyperspectral image classification using a new (soft) sparse multinomial logistic regression model (2011) (14)
- Parallel implementation of the N-FINDR endmember extraction algorithm on commodity graphics processing units (2010) (14)
- A COMPARATIVE ANALYSIS OF ENDMEMBER EXTRACTION ALGORITHMS USING AVIRIS HYPERSPECTRAL IMAGERY (2002) (14)
- Collaborative sparse unmixing of hyperspectral data (2012) (14)
- Parallel real-time virtual dimensionality estimation for hyperspectral images (2018) (14)
- DisOptNet: Distilling Semantic Knowledge From Optical Images for Weather-Independent Building Segmentation (2022) (14)
- Portability Study of an OpenCL Algorithm for Automatic Target Detection in Hyperspectral Images (2019) (13)
- Parallel CBIR System for Efficient Hyperspectral Image Retrieval from Heterogeneous Networks of Workstations (2007) (13)
- Landslide Detection Mapping Employing CNN, ResNet, and DenseNet in the Three Gorges Reservoir, China (2021) (13)
- Revisiting Deep Hyperspectral Feature Extraction Networks via Gradient Centralized Convolution (2022) (13)
- Object-Oriented Open-Pit Mine Mapping Using Gaofen-2 Satellite Image and Convolutional Neural Network, for the Yuzhou City, China (2020) (13)
- Endmember Extraction From Hyperspectral Imagery Based on Probabilistic Tensor Moments (2020) (13)
- FLOP-Reduction Through Memory Allocations Within CNN for Hyperspectral Image Classification (2021) (13)
- Ship Detection in SAR Images via Enhanced Nonnegative Sparse Locality-Representation of Fisher Vectors (2021) (13)
- Robust Normalized Softmax Loss for Deep Metric Learning-Based Characterization of Remote Sensing Images With Label Noise (2021) (13)
- A Joint Sparsity Approach to Soil Detection Using Expanded Bands of WV-2 Images (2019) (12)
- Urban Impervious Surface Estimation from Remote Sensing and Social Data (2018) (12)
- Fast principal component analysis for hyperspectral imaging based on cloud computing (2015) (12)
- Total variation regulatization in sparse hyperspectral unmixing (2011) (12)
- Parallel Morphological Classification of Hyperspectral Imagery Using Extended Opening and Closing by Reconstruction Operations (2008) (12)
- Parallel Implementation of the Recursive Approximation of an Unsupervised Hierarchical Segmentation Algorithm. Chapter 5 (2008) (12)
- Real-time implementation of a full hyperspectral unmixing chain on graphics processing units (2011) (12)
- Parallel implementation of endmember extraction algorithms using NVidia graphical processing units (2009) (12)
- A comparative assessment of several processing chains for hyperspectral image classification: What features to use? (2011) (12)
- Spectral unmixing of multispectral satellite images with dimensionality expansion using morphological profiles (2012) (12)
- A Web-Based System for Classification of Remote Sensing Data (2013) (12)
- A New Digital Repository for Hyperspectral Imagery With Unmixing-Based Retrieval Functionality Implemented on GPUs (2014) (12)
- Entropy-Based Convex Set Optimization for Spatial–Spectral Endmember Extraction From Hyperspectral Images (2020) (11)
- Sentinel-2 and Sentinel-3 Intersensor Vegetation Estimation via Constrained Topic Modeling (2019) (11)
- Hyperspectral image segmentation using a new spectral mixture-based binary partition tree representation (2013) (11)
- A Novel Preunmixing Framework for Efficient Detection of Linear Mixtures in Hyperspectral Images (2017) (11)
- Hyperspectral Classification via Global-Local Hierarchical Weighting Fusion Network (2022) (11)
- Content-based hyperspectral image retrieval using spectral unmixing (2011) (11)
- On the use of cluster computing architectures for implementation of hyperspectral image analysis algorithms (2005) (11)
- Machine Learning in Pansharpening: A benchmark, from shallow to deep networks (2022) (11)
- A new semi-supervised approach for hyperspectral image classification with different active learning strategies (2012) (11)
- Intersensor Remote Sensing Image Registration Using Multispectral Semantic Embeddings (2019) (11)
- Parallel Implementations of SVM for Earth Observation (2009) (11)
- Parallel Processing of High-Dimensional Remote Sensing Images Using Cluster Computer Architectures (2007) (11)
- Binary partition tree-based local spectral unmixing (2014) (11)
- Fusion of hyperspectral and lidar data using generalized composite kernels: A case study in Extremadura, Spain (2015) (10)
- Parallel implementation of vertex component analysis for hyperspectral endmember extraction (2012) (10)
- GPU implementation of JPEG2000 for hyperspectral image compression (2011) (10)
- Parallel sparse unmixing of hyperspectral data (2013) (10)
- Efficient Multi-Band Texture Analysis for Remotely Sensed Data Interpretation in Urban Areas (2007) (10)
- Efficient implementation of morphological opening and closing by reconstruction on multi-core parallel systems (2009) (10)
- A new framework for hyperspectral image classification using multiple spectral and spatial features (2014) (10)
- Convex Formulation for Multiband Image Classification With Superpixel-Based Spatial Regularization (2018) (10)
- Distributed Deep Learning for Remote Sensing Data Interpretation (2021) (10)
- Spatial-spectral preprocessing for volume-based endmember extraction algorithms using unsupervised clustering (2010) (10)
- Parallel Morphological/Neural Classification of Remote Sensing Images Using Fully Heterogeneous and Homogeneous Commodity Clusters (2006) (10)
- Improved Spectral Unmixing of Hyperspectral Images Using Spatially Homogeneous Endmembers (2008) (10)
- Spectral-Spatial Hyperspectral Unmixing Using Nonnegative Matrix Factorization (2021) (10)
- Analysis of the behavior of a neural network model in the identification and quantification of hyperspectral signatures applied to the determination of water quality (2004) (10)
- GPU Implementation of Iterative-Constrained Endmember Extraction from Remotely Sensed Hyperspectral Images (2015) (10)
- Simultaneously Counting and Extracting Endmembers in a Hyperspectral Image Based on Divergent Subsets (2020) (10)
- Efficient implementation of morphological index for building/shadow extraction from remotely sensed images (2016) (9)
- Heterogeneous Parallel Computing in Remote Sensing Applications: Current Trends and Future Perspectives (2006) (9)
- Generalized Morphological Component Analysis for Hyperspectral Unmixing (2020) (9)
- On the incorporation of spatial information to endmember extraction: Survey and algorithm comparison (2009) (9)
- Sparse Unmixing-Based Content Retrieval of Hyperspectral Images on Graphics Processing Units (2015) (9)
- Automated identification of endmembers from hyperspectral data using mathematical morphology (2002) (9)
- A Technique for Subpixel Analysis of Dynamic Mangrove Ecosystems With Time-Series Hyperspectral Image Data (2018) (9)
- Performance portability study of an automatic target detection and classification algorithm for hyperspectral image analysis using OpenCL (2015) (9)
- A new semi-supervised algorithm for hyperspectral image classification based on spectral unmixing concepts (2011) (9)
- A Parallel Unmixing-Based Content Retrieval System for Distributed Hyperspectral Imagery Repository on Cloud Computing Platforms (2021) (9)
- Spectrometer-Driven Spectral Partitioning for Hyperspectral Image Classification (2014) (9)
- Spatial–Spectral Hyperspectral Image Classification Using Random Multiscale Representation (2016) (9)
- HyperMix: A new tool for quantitative evaluation of end member identification and spectral unmixing techniques (2012) (9)
- Hyperspectral Unmixing on Multicore DSPs: Trading Off Performance for Energy (2014) (9)
- Multicore Real-Time Implementation of a Full Hyperspectral Unmixing Chain (2018) (9)
- Semi-supervised discriminative random field for hyperspectral image classification (2012) (9)
- European perspectives in hyperspectral data analysis (2007) (9)
- Parallel Implementation of Spatial–Spectral Endmember Extraction on Graphic Processing Units (2017) (9)
- Class-Oriented Spectral Partitioning for Remotely Sensed Hyperspectral Image Classification (2017) (8)
- Impact of JPEG2000 compression on endmember extraction and unmixing of remotely sensed hyperspectral data (2010) (8)
- Subpixel Component Analysis for Hyperspectral Image Classification (2019) (8)
- Commodity Cluster-Based Parallel Implementation of an Automatic Target Generation Process for Hyperspectral Image Analysis (2011) (8)
- Estudio Comparativo de Técnicas de Clasificación de Imágenes Hiperespectrales (2019) (8)
- Endmember Estimation with Maximum Distance Analysis (2021) (8)
- A comparative analysis of GPU implementations of spectral unmixing algorithms (2011) (8)
- On the minimum volume simplex enclosure problem for estimating a linear mixing model (2013) (8)
- Adaptive Superpixel Segmentation of Marine SAR Images by Aggregating Fisher Vectors (2021) (8)
- Spectral partitioning for hyperspectral remote sensing image classification (2014) (8)
- On the generation of training samples for neural network-based mixed pixel classification (2005) (8)
- Hyperspectral cloud shadow removal based on linear unmixing (2017) (8)
- A Siamese Network Based U-Net for Change Detection in High Resolution Remote Sensing Images (2022) (8)
- SPT 3.1: A free software for automatic tuning of segmentation parameters in optical, hyperspectral and SAR images (2015) (8)
- Automated image registration using morphological region of interest feature extraction (2005) (8)
- Hyperspectral Data Processing Algorithms (2018) (8)
- FPGA implementation of a maximum simplex volume algorithm for endmember extraction from remotely sensed hyperspectral images (2019) (8)
- A novel thresholding method for automatically detecting stars in astronomical images (2008) (7)
- Parallel Spatial-Spectral Processing of Hyperspectral Images (2008) (7)
- An experimental evaluation of endmember generation algorithms (2005) (7)
- Near real-time endmember extraction from remotely sensed hyperspectral data using NVidia GPUs (2010) (7)
- Curvelet Transform Domain-Based Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing (2020) (7)
- Improving the scalability of hyperspectral imaging applications on heterogeneous platforms using adaptive run-time data compression (2010) (7)
- A PYRAMID-BASED BLOCK OF SKEWERS FOR PIXEL PURITY INDEX FOR ENDMEMBER EXTRACTION IN HYPERSPECTRAL IMAGERY (2008) (7)
- Multi-Task Learning with Low-Rank Matrix Factorization for Hyperspectral Nonlinear Unmixing (2019) (7)
- Exploring the performance–power–energy balance of low-power multicore and manycore architectures for anomaly detection in remote sensing (2015) (7)
- Unmixing with SLIC superpixels for hyperspectral change detection (2016) (7)
- Deep Hashing Based on Class-Discriminated Neighborhood Embedding (2020) (7)
- Neighboring Region Dropout for Hyperspectral Image Classification (2020) (7)
- Superpixel-Guided Sparse Unmixing for Remotely Sensed Hyperspectral Imagery (2019) (7)
- High-performance computing in remotely sensed hyperspectral imaging: the Pixel Purity Index algorithm as a case study (2006) (7)
- GPU Implementation of Spatial–Spectral Preprocessing for Hyperspectral Unmixing (2016) (7)
- High-Rankness Regularized Semi-Supervised Deep Metric Learning for Remote Sensing Imagery (2020) (7)
- Spectral-spatial classification for hyperspectral data using SVM and subspace MLR (2013) (7)
- Spatial/Spectral Identification of Endmembers from AVIRIS Data using Mathematical Morphology (2001) (7)
- Covariance Matrix Based Feature Fusion for Scene Classification (2018) (7)
- Impervious Surface Extraction From Multispectral Images via Morphological Attribute Profiles Based on Spectral Analysis (2018) (7)
- Parallel Segmentation of Multi-Channel Images Using Multi-Dimensional Mathematical Morphology (2006) (7)
- Design and Implementation of a Parallel Heterogeneous Algorithm for Hyperspectral Image Analysis Using HeteroMPI (2006) (7)
- CNN-Based Hyperspectral Pansharpening with Arbitrary Resolution (2021) (6)
- A Distributed Parallel Algorithm Based on Low-Rank and Sparse Representation for Anomaly Detection in Hyperspectral Images (2018) (6)
- Hyperspectral Image Classification Using Parallel Autoencoding Diabolo Networks on Multi-Core and Many-Core Architectures (2018) (6)
- Optical Remote Sensing Image Understanding With Weak Supervision: Concepts, methods, and perspectives (2022) (6)
- Endmember Extraction by a Self-Organizing Neural Network on Hyperspectral Images (6)
- Deep Auto-Encoder Network for Hyperspectral Image Unmixing (2018) (6)
- Real-time spectral unmixing using iterative error analysis on commodity graphics processing units (2011) (6)
- Towards Real-Time Compression of Hyperspectral Images Using Virtex-II FPGAs (2007) (6)
- Adaptive Superpixel Segmentation with Fisher Vectors for Ship Detection in SAR Images (2020) (6)
- Spectral characterisation of land surface composition to determine soil erosion within semiarid rainfed cultivated areas (2012) (6)
- Models for Hyperspectral Image Analysis: From Unmixing to Object-Based Classification (2018) (6)
- Spatial-spectral endmember extraction from remotely sensed hyperspectral images using the watershed transformation (2010) (6)
- Rotation-Invariant Deep Embedding for Remote Sensing Images (2022) (6)
- FPGA for Computing the Pixel Purity Index Algorithm on Hyperspectral Images (2010) (6)
- A multi-measurement vector approach for endmember extraction in urban environments (2014) (6)
- Spatial technology and social media in remote sensing: challenges and opportunities [point of view] (2017) (6)
- Parallel processing of remotely sensed hyperspectral imagery: full-pixel versus mixed-pixel classification (2008) (6)
- GPU Parallel Implementation of Dual-Depth Sparse Probabilistic Latent Semantic Analysis for Hyperspectral Unmixing (2019) (6)
- A suite of parallel algorithms for efficient band selection from hyperspectral images (2018) (6)
- Endmember generation by projection pursuit (2005) (6)
- Hyperspectral image analysis by scale-orientation morphological profiles (2004) (6)
- Parallel implementation of linear and nonlinear spectral unmixing of remotely sensed hyperspectral images (2011) (6)
- Superpixel-Based Collaborative and Low-Rank Regularization for Sparse Hyperspectral Unmixing (2022) (6)
- Spatial weighted sparse regression for hyperspectral image unmixing (2017) (6)
- Advanced Spectral Classifiers for Hyperspectral Images (6)
- Self-Supervised Robust Deep Matrix Factorization for Hyperspectral Unmixing (2022) (5)
- Vertex component analysis GPU-based implementation for hyperspectral unmixing (2012) (5)
- Parallel hyperspectral image compression using iterative error analysis on graphics processing units (2012) (5)
- HYPER-I-NET: European research network on hyperspectral imaging (2007) (5)
- Potential and limitations of band selection and library pruning in sparse hyperspectral unmixing (2015) (5)
- Lightweight Tensor Attention-Driven ConvLSTM Neural Network for Hyperspectral Image Classification (2021) (5)
- Geographic Optimal Transport for Heterogeneous Data: Fusing Remote Sensing and Social Media (2021) (5)
- DESIGN OF FAST ALGORITHMS FOR PIXEL PURITY INDEX FOR ENDMEMBER EXTRACTION IN HYPERSPECTRAL IMAGERY (2005) (5)
- On the architecture of a big data classification tool based on a map reduce approach for hyperspectral image analysis (2015) (5)
- A new morphological anomaly detection algorithm for hyperspectral images and its GPU implementation (2011) (5)
- Yinyang K-means clustering for hyperspectral image analysis (2018) (5)
- Semi-supervised classification of urban hyperspectral data using spectral unmixing concepts (2013) (5)
- Hyperspectral change detection by sparse unmixing with dictionary pruning (2015) (5)
- Real-time lossy compression of hyperspectral images using iterative error analysis on graphics processing units (2012) (5)
- Endmember Estimation From Hyperspectral Images Using Geometric Distances (2022) (5)
- Parallel positive Boolean function approach to classification of remote sensing images (2011) (5)
- Morphological feature extraction for automatic registration of multispectral images (2007) (5)
- Parallel processing of remotely sensed hyperspectral imagery: full‐pixel versus mixed‐pixel classification (2008) (5)
- Revisiting SLIC: Fast Superpixel Segmentation of Marine SAR Images Using Density Features (2022) (5)
- Deep mixed precision for hyperspectral image classification (2021) (5)
- Convex formulation for hyperspectral image classification with superpixels (2016) (5)
- Spectral-textural endmember extraction (2010) (5)
- Commodity cluster and hardware-based massively parallel implementations of hyperspectral imaging algorithms (2006) (5)
- GPU implementation of a hyperspectral coded aperture algorithm for compressive sensing (2015) (5)
- Ship Detection in SAR Images by Aggregating Densities of Fisher Vectors: Extension to a Global Perspective (2022) (5)
- Hyperspectral and LiDAR Data Classification Using Joint CNNs and Morphological Feature Learning (2022) (5)
- Unsupervised clustering and spectral unmixing for feature extraction prior to supervised classification of hyperspectral images (2011) (5)
- GPU implementation of spatial preprocessing for spectral unmixing of hyperspectral data (2015) (5)
- FPGA implementation of endmember extraction algorithms from hyperspectral imagery: pixel purity index versus N-FINDR (2011) (5)
- Open-Pit Mine Area Mapping With Gaofen-2 Satellite Images Using U-Net+ (2022) (5)
- Assessing the Performance-Energy Balance of Graphics Processors for Spectral Unmixing (2014) (5)
- A fast parallel hyperspectral coded aperture algorithm for compressive sensing using OpenCL (2015) (5)
- Lossy hyperspectral image compression tuned for spectral mixture analysis applications on NVidia graphics processing units (2009) (5)
- A New Method for Positional Accuracy Analysis in Georeferenced Satellite Images without Independent Ground Control Points (2020) (4)
- A new semi-supervised classification strategy combining active learning and spectral unmixing of hyperspectral data (2016) (4)
- Parallel Detection of Targets in Hyperspectral Images Using Heterogeneous Networks of Workstations (2007) (4)
- Unmixing prior to supervised classification of urban hyperspectral images (2011) (4)
- Low-bit rate exploitation-based lossy hyperspectral image compression (2010) (4)
- Hyperspectral Unmixing Based on Nonnegative Matrix Factorization: A Comprehensive Review (2022) (4)
- HyperMix: An Open-Source Tool for Fast Spectral Unmixing on Graphics Processing Units (2015) (4)
- Efficient Semantic Segmentation of Hyperspectral Images Using Adaptable Rectangular Convolution (2022) (4)
- Semi-supervised active learning for urban hyperspectral image classification (2012) (4)
- New geo-portal for MODIS/SEVIRI image products with geolocation-based retrieval functionality (2015) (4)
- Fast Orthogonal Projection for Hyperspectral Unmixing (2022) (4)
- High performance computing for hyperspectral image analysis: Perspective and state-of-the-art (2009) (4)
- Spectral-Spatial Weighted Sparse Nonnegative Tensor Factorization for Hyperspectral Unmixing (2020) (4)
- Estimating Nonlinearities in p-Linear Hyperspectral Mixtures (2018) (4)
- Validation of spectral unmixing methods using photometry and topography information (2013) (4)
- Hyperspectral Image Processing: Methods and Approaches (2015) (4)
- Self-Organizing Map for Hyperspectral Image Analysis (2001) (4)
- FPGA implementation of a maximum volume algorithm for endmember extraction from hyperspectral imagery (2015) (4)
- A new tool for supervised classification of satellite images available on web servers: Google Maps as a case study (2016) (4)
- Parallel implementation of a hyperspectral unmixing chain: Graphic processing units versus multi-core processors (2012) (4)
- RSEIFE: A new remote sensing ecological index for simulating the land surface eco-environment. (2022) (4)
- Local Semantic Feature Aggregation-Based Transformer for Hyperspectral Image Classification (2022) (4)
- Semi-supervised hyperspectral classification using active label selection (2009) (4)
- Semi-supervised classification of hyperspectral data using spectral unmixing concepts (2012) (4)
- Hyperspectral Unmixing Based on Spectral and Sparse Deep Convolutional Neural Networks (2021) (4)
- Hashing for Localization (HfL): A Baseline for Fast Localizing Objects in a Large-Scale Scene (2022) (4)
- Integrating multiple nonlinear estimators into hyperspectral unmixing (2014) (4)
- Onboard payload-data dimensionality reduction (2017) (4)
- GPU implementation of hyperspectral image classification based on weighted Markov random fields (2016) (4)
- Automatic selection of informative samples for SVM-based classification of hyperspectral data using limited training sets (2010) (4)
- Hyperspectral and lidar data integration and classification (2015) (4)
- DFLLR: Deep Feature Learning With Latent Relationship Embedding for Remote Sensing Image Retrieval (2022) (4)
- Recent developments and future directions in parallel processing of remotely sensed hyperspectral images (2009) (4)
- Parallel Implementation of Polarimetric Synthetic Aperture Radar Data Processing for Unsupervised Classification Using the Complex Wishart Classifier (2015) (4)
- GPU-Friendly Neural Networks for Remote Sensing Scene Classification (2020) (4)
- Massively parallel processing of remotely sensed hyperspectral images (2009) (4)
- Decision fusion based on extended multi-attribute profiles for hyperspectral image classification (2013) (4)
- Minimum volume simplicial enclosure for spectral unmixing (2010) (4)
- SPARSE HYPERSPECTRAL UNMIXING (2009) (4)
- Deep Learning-Based Building Footprint Extraction With Missing Annotations (2022) (4)
- Noise-Tolerant Deep Neighborhood Embedding for Remotely Sensed Images With Label Noise (2021) (3)
- Learning Orientation Information From Frequency-Domain for Oriented Object Detection in Remote Sensing Images (2022) (3)
- Fast and Reliable Noise Estimation for Hyperspectral Subspace Identification (2015) (3)
- Noise-robust spatial preprocessing prior to endmember extraction from hyperspectral data (2011) (3)
- Optimization of a Hyperspectral Image Processing Chain Using Heterogeneous and GPU-Based Parallel Computing Architectures (2009) (3)
- Minimum volume simplicial enclosure for spectral unmixing of remotely sensed hyperspectral data (2010) (3)
- Morphological feature extraction and spectral unmixing of hyperspectral images (2008) (3)
- Sentinel-3/FLEX Biophysical Product Confidence Using Sentinel-2 Land-Cover Spatial Distributions (2021) (3)
- On the use of collaborative sparse regression in hyperspectral unmixing chains (2014) (3)
- Hyperspectral Anomaly Detection With Relaxed Collaborative Representation (2022) (3)
- Impact of Vector Ordering Strategies on Morphological Unmixing of Remotely Sensed Hyperspectral Images (2010) (3)
- A New Parallel Implementation of the RX Algorithm for Anomaly Detection in Hyperspectral Images (2010) (3)
- On the incorporation of spatial information to endmember identification algorithms without the pure pixel assumption (2011) (3)
- Automatic Detection of Aquatic Weeds: A Case Study in the Guadiana River, Spain (2022) (3)
- BS3LNet: A New Blind-Spot Self-Supervised Learning Network for Hyperspectral Anomaly Detection (2023) (3)
- Morphological algorithms for processing tickets by handheld assay (2004) (3)
- Recent developments and future directions in hyperspectral data classification (2007) (3)
- Parallel Implementation of Hyperspectral Image Processing Algorithms (2006) (3)
- Ensemble Entropy Metric for Hyperspectral Anomaly Detection (2022) (3)
- Separable Attention Network in Single- and Mixed-Precision Floating Point for Land-Cover Classification of Remote Sensing Images (2022) (3)
- Performance-Power Evaluation of an OpenCL Implementation of the Simplex Growing Algorithm for Hyperspectral Unmixing (2017) (3)
- Enhanced Spatiotemporal Fusion via MODIS-Like Images (2022) (3)
- Parallel implementation of the multiple endmember spectral mixture analysis algorithm for hyperspectral unmixing (2015) (3)
- Multicore implementation of the multi-scale adaptive deep pyramid matching model for remotely sensed image classification (2017) (3)
- Segmentation as postprocessing for hyperspectral image classification (2015) (3)
- A fast sequential endmember extraction algorithm based on unconstrained linear spectral unmixing (2009) (3)
- Toward a High‐Performance Distributed CBIR System for Hyperspectral Remote Sensing Data: A Case Study in Jungle Computing (2014) (3)
- Toward Tightness of Scalable Neighborhood Component Analysis for Remote-Sensing Image Characterization (2022) (3)
- Training Capsnets via Active Learning for Hyperspectral Image Classification (2020) (3)
- MO-CNN: Multiobjective Optimization of Convolutional Neural Networks for Hyperspectral Image Classification (2022) (3)
- 3D Segmentation of MRI of the Liver Using Support Vector Machine (2014) (3)
- A New Max-Min Convolutional Network for Hyperspectral Image Classification (2021) (2)
- The Detection of Concealed Targets in Woodland Areas using Hyperspectral Imagery (2020) (2)
- An Investigation on Self-Normalized Deep Neural Networks for Hyperspectral Image Classification (2018) (2)
- Performance Optimizations for an Automatic Target Generation Process in Hyperspectral Analysis (2015) (2)
- Multi-superpixelization-based convex formulation for joint classification of hyperspectral and lidar data (2017) (2)
- Clusters versus FPGAs for spectral mixture analysis-based lossy hyperspectral data compression (2008) (2)
- Efficient information extraction from hyperspectral imagery using networks of workstations (2005) (2)
- High-Order Self-Attention Network for Remote Sensing Scene Classification (2019) (2)
- SYSTOLIC S.O.M. NEURAL NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION (2002) (2)
- PARALLEL IMPLEMENTATION OF ALGORITHMS FOR ENDMEMBER EXTRACTION FROM AVIRIS HYPERSPECTRAL IMAGERY (2004) (2)
- MORPHOLOGICAL ENDMEMBER IDENTIFICATION AND ITS SYSTOLIC ARRAY DESIGN (2009) (2)
- Quantifying the Impact of Spatial Resolution on Endmember Extraction from Hyperspectral Imagery (2003) (2)
- B-HYCA: Blind hyperspectral compressive sensing (2015) (2)
- Endmember extraction from hyperspectral imagery using a parallel ensemble approach with consensus analysis (2009) (2)
- Robust Deep Metric Learning for Remote Sensing Images with Noisy Annotations (2021) (2)
- Improving the scalability of parallel algorithms for hyperspectral image analysis using adaptive message compression (2009) (2)
- Monitoring the Spatiotemporal Distribution of Invasive Aquatic Plants in the Guadiana River, Spain (2023) (2)
- Pseudo Complex-Valued Deformable ConvLSTM Neural Network With Mutual Attention Learning for Hyperspectral Image Classification (2022) (2)
- On the detection of linear mixtures in hyperspectral images (2016) (2)
- Solving Deep Neural Networks with Ordinary Differential Equations for Remotely Sensed Hyperspectral Image Classification (2019) (2)
- Integration of LiDAR and Hyperspectral Data for Land-cover Classification: A Case Study (2017) (2)
- A new digital repository for remotely sensed hyperspectral imagery with unmixing-based retrieval functionality (2012) (2)
- Cloud masking in remotely sensed hyperspectral images using linear and nonlinear spectral mixture analysis (2006) (2)
- Special issue on algorithms and architectures for real-time multi-dimensional image processing (2014) (2)
- A new classification-oriented endmember extraction and sparse unmixing approach for hyperspectral data (2017) (2)
- A new subspace discriminant analysis approach for supervised hyperspectral image classification (2011) (2)
- Hyperspectral image classification based on union of subspaces (2015) (2)
- HYPERSPECTRAL IMAGE CLASSIFICATION BASED ON A FAST BREGMAN SPARSE MULTINOMIAL LOGISTIC REGRESSION ALGORITHM (2009) (2)
- Joint spectral and spatial preprocessing prior to endmember extraction from hyperspectral images (2011) (2)
- A New Tool for Classification of Satellite Images Available from Google Maps: Efficient Implementation in Graphics Processing Units (2011) (2)
- A Gaussian approach to subspace based classification of hyperspectral images (2016) (2)
- Parallel implementation of the simplex growing algorithm for hyperspectral unmixing using OpenCL (2016) (2)
- Variable Subpixel Convolution Based Arbitrary-Resolution Hyperspectral Pansharpening (2022) (2)
- Radiometric Calibration of Fengyun-3D Mersi-II Satellite: A Case Study in Lake Qinghai, China (2020) (2)
- DS4L: Deep Semisupervised Shared Subspace Learning for Hyperspectral Image Classification (2022) (2)
- A New Deep Convolutional Network for Effective Hyperspectral Unmixing (2022) (2)
- Dynamic Hyperspectral Pansharpening CNNs (2023) (2)
- DRFL-VAT: Deep Representative Feature Learning with Virtual Adversarial Training for Semi-Supervised Classification of Hyperspectral Image (2022) (2)
- A New Digital Repository for Remotely Sensed Hyperspectral Imagery on GPUs (2013) (1)
- IGARSS in Yokohama, Japan: Impressions From the First Days [Conference Reports] (2019) (1)
- Morphological Hyperspectral Image Classification: A Parallel Processing Perspective (2006) (1)
- Evaluation of Different Regularization Methods for the Extreme Learning Machine Applied to Hyperspectral Images (2018) (1)
- Moving Ship Optimal Association for Maritime Surveillance: Fusing AIS and Sentinel-2 Data (2022) (1)
- Recent Advances in Hyperspectral Unmixing Using Sparse Techniques and Deep Learning (2020) (1)
- Spatial Downscaling for Global Precipitation Measurement Using a Geographically and Temporally Weighted Regression Model (2020) (1)
- Impact of JPEG2000 compression on spatial-spectral endmember extraction from hyperspectral data (2009) (1)
- GPUs versus FPGAs for Onboard Payload Compression of Remotely Sensed Hyperspectral Data (2010) (1)
- Nonnegative matrix factorization with collaborativity for hyperspectral unmixing (2012) (1)
- Procesamiento Paralelo de Imágenes Hiperespectrales (2017) (1)
- Multi-resolution Pyramid Enhanced Non-local Feature Extraction for Hyperspectral Classification (2022) (1)
- Spectral–Spatial Morphological Attention Transformer for Hyperspectral Image Classification (2023) (1)
- Cluster-Based Implementation of a Morphological Watershed Algorithm for Parallel Classification of Multichannel Images (2007) (1)
- Spatial Technology and Social Media [Scanningthe Issue] (2017) (1)
- Projection Pursuit-Based Dimensionality Reduction for Hyperspectral Analysis (2012) (1)
- Performance versus energy consumption of hyperspectral unmixing algorithms on multi-core platforms (2013) (1)
- Chapter 1: Preface (1963) (1)
- GPU implementation of a constrained hyperspectral coded aperture algorithm for compressive sensing (2015) (1)
- Uncertainty propagation from atmospheric parameters to sparse hyperspectral unmixing (2016) (1)
- Spatial preprocessing for endmember extraction using unsupervised clustering and orthogonal subspace projection concepts (2010) (1)
- Parallel implementation of a hyperspectral data geometry-based estimation of number of endmembers algorithm (2016) (1)
- Analysis of Remotely Sensed Images Through Social Media (2021) (1)
- Efficient Convolutional Neural Network for Spectral-Spatial Hyperspectral Denoising (2019) (1)
- Parallel method for sparse semisupervised hyperspectral unmixing (2013) (1)
- Multiattribute Sample Learning for Hyperspectral Image Classification Using Hierarchical Peak Attribute Propagation (2022) (1)
- Parallel processing opens new perspectives for hyperspectral imaging (2006) (1)
- Robust collaborative nonnegative matrix factorization for hyperspectra unmixing (R-CONMF) (2015) (1)
- Spatial Bias Correction of Social Media Data by Exploiting Remote Sensing Knowledge in Data-Deficient Regions (2020) (1)
- Unfolding Spatial-Temporal Patterns of Taxi Trip based on an Improved Network Kernel Density Estimation (2020) (1)
- Procesamiento de imagenes hiperespectrales en computadores paralelos (2004) (1)
- Towards the Definition of a Flexible Hyperspectral Processing Chain: Preliminary Case Study Using High-Resolution Urban Data (2008) (1)
- Spatial-spectral endmember extraction from hyperspectral imagery using multi-band morphology and volume optimization (2009) (1)
- On the optimization of memory access to increase the performance of spatial preprocessing techniques on graphics processing units (2016) (1)
- Class-oriented spectral partitioning for hyperspectral image classification (2015) (1)
- Analysis of different strategies for incorporating spatial information in the design of endmember extraction algorithms from hyperspectral data (2009) (1)
- Accessibility-Free Active Learning for Hyperspectral Image Classification (2019) (1)
- Fusing Sentinel-2 and Landsat-8 Surface Reflectance Data via Pixel-Wise Local Normalization (2022) (1)
- Change prediction and modeling of dynamic mangrove ecosystem using remotely sensed hyperspectral image data (2021) (1)
- Comparative analysis of training strategies for neural network-based spectral unmixing of laboratory-simulated forest hyperspectral scenes (2010) (1)
- A new web-based system for unsupervised classification of satellite images from the Google Maps engine (2012) (1)
- Subspace Optimal Transport for Spatial Bias Correction of Social Media Data: A Case Study of 2013 Boulder Flood Event (2021) (1)
- A New Multiple Classifier System for Semi-supervised Analysis of Hyperspectral Images (2016) (1)
- Spectral unmixing-based post-processing for hyperspectral image classification (2013) (1)
- Hyperspectral Image Classification Based on Tensor-Train Convolutional Long Short-Term Memory (2020) (1)
- Special issue on algorithms and architectures for real-time multi-dimensional image processing (2014) (0)
- Parallel real-time virtual dimensionality estimation for hyperspectral images (2017) (0)
- Parallel implementation of algorithms for standoff detection in hyperspectral imagery (2003) (0)
- Generalized Scalable Neighborhood Component Analysis for Single and Multi-Label Remote Sensing Image Characterization (2021) (0)
- Multi-core Implementation of Spatial-Spectral Preprocessing for Hyperspectral Unmixing (2017) (0)
- Sparse hyperspectral unmixing with spatial discontinuity preservation (2016) (0)
- FPGA implementation of a maximum simplex volume algorithm for endmember extraction from remotely sensed hyperspectral images (2017) (0)
- Lightweight Tensorized Neural Networks for Hyperspectral Image Classification (2022) (0)
- CHAPTER 3 MORPHOLOGICAL ENDMEMBER IDENTIFICATION AND ITS SYSTOLIC ARRAY (2009) (0)
- Hyperspectral Anomaly Detection Using Quantum Potential Clustering (2022) (0)
- Cloud implementation of the K-means algorithm for hyperspectral image analysis (2016) (0)
- Lossy Hyperspectral image compression on NVidia TM Graphics Processing Units (2009) (0)
- Awards Presented at the IGARSS 2019 Banquet [Conference Reports] (2017) (0)
- Scalable recurrent neural network for hyperspectral image classification (2020) (0)
- Parallel morphological neural networks for hyperspectral image classification on fully heterogeneous and homogeneous networks of workstations (2007) (0)
- Parallel Endmember Extraction Techniques Applied to a Self-Organizing Neural Network for Hyperspectral Image Classification (2005) (0)
- IGARSS 2020 Virtual Symposium: Impressions From the First Days [Conference Reports] (2021) (0)
- Fast determination of the number of endmembers for real-time hyperspectral unmixing on GPUs (2012) (0)
- Spatial-spectral preprocessing for endmember extraction on GPU's (2016) (0)
- A New Tool for Information Extraction and Mining from Satellite Imagery Available from Google Maps Engine (2010) (0)
- Cloud i m ple m entation of the Km eans algorith m for hyperspectral i m age analysis (2017) (0)
- Hyperspectral Anomaly Detection Using the Spectral–Spatial Graph (2022) (0)
- Josa Manuel Bioucas-Dias (1960-2020) [In Memoriam] (2020) (0)
- Hybrid Fully Connected Tensorized Compression Network for Hyperspectral Image Classification (2023) (0)
- Efficient parallel implementation of polarimetric synthetic aperture radar data processing (2014) (0)
- Semisupervised Discriminative Random Field for Hyperspectral Image Classification (2021) (0)
- A Noise Proof Strategy for Spatio-Temporal Fusion of Remote Sensing Imagery (2022) (0)
- A suite of parallel algorithms for efficient band selection from hyperspectral images (2018) (0)
- MFE-ResNet: A new extraction framework for land cover characterization in mining areas (2023) (0)
- A comparison study between windowing and binary partition trees for hyperspectral image information mining (2013) (0)
- Naive Gabor Networks (2019) (0)
- Registration of Multispectral Images (2007) (0)
- A New 3D Convolution Network for Hyperspectral Unmixing (2022) (0)
- An iterative enhancement of higher order nonlinear mixture model for accurate hyperspectral unmixing (2016) (0)
- Hyperspectral mixture analysis and look-up tables for plant production system monitoring (2012) (0)
- Efficient Collective Communication Paradigms for Hyperspectral Imaging Algorithms Using HeteroMPI (2008) (0)
- NSCKL: Normalized Spectral Clustering With Kernel-Based Learning for Semisupervised Hyperspectral Image Classification. (2022) (0)
- IGARSS 2022 in Kuala Lumpur, Malaysia: Impressions of the First Days [Conference Reports] (2022) (0)
- Activities of the IEEE GRSS Spain Chapter [Chapters] (2019) (0)
- t-Linear Tensor Subspace Learning for Robust Feature Extraction of Hyperspectral Images (2023) (0)
- Fast spatial-spectral preprocessing for endmember extraction and spectral unmixing using graphic processing units (2016) (0)
- Graph-regularized coupled spectral unmixing for multisensor time-series analysis (2016) (0)
- Automatic Neuro-hyperspectral Unmixing: A New Approach (2002) (0)
- Parallel morphological processing of hyperspectral image data on heterogeneous networks of computers (2006) (0)
- HYPERSPECTRAL IMAGE CLASSIFICATIO BASED O A FAST BREGMA SPARSE MULTI OMIAL LOGISTIC REGRESSIO ALGORITHM (2009) (0)
- AAtt-CNN: Automatical Attention-based Convolutional Neural Networks for Hyperspectral Image Classification (2023) (0)
- Real-time implementation of remotely sensed hyperspectral image unmixing on GPUs (2012) (0)
- Multi-Scale Spectral-Spatial Attention Network for Hyperspectral Image Classification Combining 2D Octave and 3D Convolutional Neural Networks (2023) (0)
- Unmixing-based content retrieval system for remotely sensed hyperspectral imagery on GPUs (2014) (0)
- Fast dimensionality reduction and classification of hyperspectral images with extreme learning machines (2018) (0)
- Mapping Invasive Aquatic Plants in Sentinel-2 Images Using Convolutional Neural Networks Trained With Spectral Indices (2023) (0)
- Plant production system monitoring via multiple signal classification and sparse regression (2013) (0)
- Recent activities in the Hyperspectral Imaging Network (HYPER-I-NET): A European consortium fostering imaging spectroscopy research (2009) (0)
- Improved signal unmixing of vegetation using sparse group selection (2013) (0)
- 7 Parallel Spatial-Spectral Processing of Hyperspectral Images (2008) (0)
- Spaceborne L Band High Efficiency 65W SSPA Demonstrator for Navigation and Radar Applications (2008) (0)
- Automatic Registration of Multispectral Images on Graphics Processing Units (2008) (0)
- An Overview of the Contributions of Jose Manuel Bioucas-Dias to Remote Sensing Image Processing (2021) (0)
- On Endmember Identification in Hyperspectral Images Without Pure Pixels: A Comparison of Algorithms (2011) (0)
- EO Data Processing and Interpretation for Human Settlement Characterization: A Really Global Challenge (2014) (0)
- Parallel implementation of RX anomaly detection on multi-core processors: impact of data partitioning strategies (2011) (0)
- A real-time unsupervised background extraction-based target detection method for hyperspectral imagery (2017) (0)
- On the use of parallel computing to process multichannel imagery via extended morphological operations (2002) (0)
- Hyperspectral segmentation with active learning (2010) (0)
- Impervious surface extraction from multispectral images using morphological attribute profiles and spectral mixture analysis (2017) (0)
- New Hyperspectral Unmixing Techniques in the Framework of the Earth Observation Optical Data Calibration and Information Extraction ( EODIX ) Project (2010) (0)
- Preface (2008) (0)
- On the Evaluation of Machine Learning Algorithms for Hyperspectral Image Classification on a Heterogeneous Computing Device (2021) (0)
- Central Cohesion Gradual Hashing for Remote Sensing Image Retrieval (2023) (0)
- Remote Sensing Image Fusion Using Hierarchical Multi-modal Probabilistic Latent Semantic Analysis (2018) (0)
- Open Multi-Processing Acceleration for Unsupervised Land Cover Categorization Using Probabilistic Latent Semantic Analysis (2019) (0)
- HyperMix: A New Tool for Higher Education of Computer and Remote Sensing Engineers☆ (2016) (0)
- Nonlinear Method of Reduction of Dimensionality Based on Artificial Neural Network and Hardware Implementation (2015) (0)
- Efficient implementation of morphological index for building/shadow extraction from remotely sensed images (2016) (0)
- Inter-Sensor Regression Analysis for Operational Sentinel-2 and Sentinel-3 Data Products (2018) (0)
- OpenCL-library-based implementation of SCLSU algorithm for remotely sensed hyperspectral data exploitation: clMAGMA versus viennaCL (2016) (0)
- T A New Tool for Classification of Satellite Images Available from Google Maps : Efficient Implementation in Graphics Processing Units (2011) (0)
- Special Section Guest Editorial: Hyperspectral Remote Sensing and Imaging Spectrometer Design (2021) (0)
- Arrays de sistólicos como soporte al análisis de imágenes hiperespectrales en tiempo real (2002) (0)
- A multiple criteria-based spectral partitioning method for remotely sensed hyperspectral image classification (2016) (0)
- Parallel Implementation of Morphological Neural Networks for Hyperspectral Image Analysis (2007) (0)
- HyperMix: An open source tool for hyperspectral imaging (2015) (0)
- H-COMP: una herramienta para la comparación de algoritmos de extracción de endmembers. (2003) (0)
- Validación de productos LST en el marco del proyecto CEOS-SPAIN para su distribución a través de un geoportal (2015) (0)
- Optimized Spatial Gradient Transfer for Hyperspectral-LiDAR Data Classification (2022) (0)
- Análisis del fenómeno de la corrupción pública en España a través del delito de malversación de caudales (2017) (0)
- Comparación de algoritmos de extracción de endmembers aplicados a la detección de nubes (2005) (0)
- Publisher’s Note: Graphics processing unit implementation of JPEG2000 for hyperspectral image compression (2012) (0)
- Procesamiento paralelo de imágenes hiperespectrales utilizando unidades de procesamiento gráfico doḿesticas (2006) (0)
- Improved Vegetation Signal Unmixing Based on Sparse Group Selection (2013) (0)
- NEW SPATIAL/SPECTRAL MULTI TEMPORAL ENDMEMBER EXTRACTION AL- GORITHMS (2006) (0)
- Structure-Aware Multikernel Learning for Hyperspectral Image Classification (2021) (0)
- A New Context-Aware Framework for Defending Against Adversarial Attacks in Hyperspectral Image Classification (2023) (0)
- FUSION BASED ON EXTENDED MULTI-ATTRIBUTE PROFILES FOR HYPERSPECTRAL IMAGE CLASSIFICATION (2013) (0)
- Distributed Computing for Efficient Hyperspectral Imaging Using Fully Heterogeneous Networks of Workstations (2006) (0)
- Multiple Incremental Kernel Convolution for Land Cover Classification of Remotely Sensed Images (2021) (0)
- Adaptive Dictionary Construction for Hyperspectral Anomaly Detection Based on Collaborative Representation (2022) (0)
- Integration of Hyperspectral Image Classification and Unmixing for Active Learning (2011) (0)
- Urban area product simulation for the EnMap hyperspectral sensor (2011) (0)
- Hyperspectral Anomaly Detection Using Reconstruction Fusion of Quaternion Frequency Domain Analysis. (2023) (0)
- Spectral unmixing based on a minimum volume simplicial enclosure model (2010) (0)
- A New Spatio-Temporal Fusion Method for Remotely Sensed Data Based on Convolutional Neural Networks (2019) (0)
- Spatial Subpixel Mapping Model for Remotely Sensed Hyperspectral Imagery (2018) (0)
- Special Section Guest Editorial: Satellite Hyperspectral Remote Sensing: Algorithms and Applications (2021) (0)
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