Qiang Du
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Applied Mathematics
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Mathematics
Qiang Du's Degrees
- PhD Applied Mathematics University of California, Berkeley
- Masters Applied Mathematics University of California, Berkeley
- Bachelors Mathematics Peking University
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(Suggest an Edit or Addition)Qiang Du'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)
- Estimation of number of spectrally distinct signal sources in hyperspectral imagery (2004) (941)
- Hyperspectral Image Classification Using Deep Pixel-Pair Features (2017) (569)
- A joint band prioritization and band-decorrelation approach to band selection for hyperspectral image classification (1999) (521)
- Local Binary Patterns and Extreme Learning Machine for Hyperspectral Imagery Classification (2015) (508)
- An improved box-counting method for image fractal dimension estimation (2009) (464)
- More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification (2020) (440)
- Hyperspectral Image Compression Using JPEG2000 and Principal Component Analysis (2007) (413)
- Collaborative Representation for Hyperspectral Anomaly Detection (2015) (390)
- Similarity-Based Unsupervised Band Selection for Hyperspectral Image Analysis (2008) (370)
- Diverse Region-Based CNN for Hyperspectral Image Classification (2018) (340)
- Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest (2014) (322)
- Multisource Remote Sensing Data Classification Based on Convolutional Neural Network (2018) (283)
- GETNET: A General End-to-End 2-D CNN Framework for Hyperspectral Image Change Detection (2019) (276)
- An Efficient Method for Supervised Hyperspectral Band Selection (2011) (233)
- High Performance Computing for Hyperspectral Remote Sensing (2011) (215)
- Transferred Deep Learning for Anomaly Detection in Hyperspectral Imagery (2017) (195)
- Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral Images via Convolutional Neural Networks (2017) (190)
- Interference and noise-adjusted principal components analysis (1999) (174)
- Hyperspectral Band Selection: A Review (2019) (166)
- Joint Within-Class Collaborative Representation for Hyperspectral Image Classification (2014) (161)
- Gabor-Filtering-Based Nearest Regularized Subspace for Hyperspectral Image Classification (2014) (160)
- Hyperspectral Image Spatial Super-Resolution via 3D Full Convolutional Neural Network (2017) (160)
- Combined sparse and collaborative representation for hyperspectral target detection (2015) (159)
- Scene classification using local and global features with collaborative representation fusion (2016) (155)
- Multi-Modal Change Detection, Application to the Detection of Flooded Areas: Outcome of the 2009–2010 Data Fusion Contest (2012) (154)
- Foreword to the Special Issue on Spectral Unmixing of Remotely Sensed Data (2011) (152)
- Optical Flow and Principal Component Analysis-Based Motion Detection in Outdoor Videos (2010) (146)
- Unsupervised Spatial–Spectral Feature Learning by 3D Convolutional Autoencoder for Hyperspectral Classification (2019) (141)
- A linear constrained distance-based discriminant analysis for hyperspectral image classification (2001) (140)
- Fusing Local and Global Features for High-Resolution Scene Classification (2017) (140)
- Optimized Hyperspectral Band Selection Using Particle Swarm Optimization (2014) (134)
- Feature Extraction for Classification of Hyperspectral and LiDAR Data Using Patch-to-Patch CNN (2020) (134)
- Kernel Collaborative Representation With Tikhonov Regularization for Hyperspectral Image Classification (2014) (132)
- Remote Sensing Image Scene Classification Using Multi-Scale Completed Local Binary Patterns and Fisher Vectors (2016) (125)
- A comparative study for orthogonal subspace projection and constrained energy minimization (2003) (124)
- Low-Complexity Principal Component Analysis for Hyperspectral Image Compression (2008) (122)
- Sparse Graph-Based Discriminant Analysis for Hyperspectral Imagery (2014) (117)
- Modified Fisher's Linear Discriminant Analysis for Hyperspectral Imagery (2007) (113)
- Particle Swarm Optimization-Based Hyperspectral Dimensionality Reduction for Urban Land Cover Classification (2012) (109)
- Using High-Resolution Airborne and Satellite Imagery to Assess Crop Growth and Yield Variability for Precision Agriculture (2013) (108)
- Unsupervised Hyperspectral Band Selection Using Graphics Processing Units (2011) (106)
- Data Augmentation for Hyperspectral Image Classification With Deep CNN (2019) (104)
- Anomaly Detection and Reconstruction From Random Projections (2012) (103)
- On the Performance Evaluation of Pan-Sharpening Techniques (2007) (102)
- Graph-Regularized Fast and Robust Principal Component Analysis for Hyperspectral Band Selection (2018) (101)
- Classification of Hyperspectral Imagery Using a New Fully Convolutional Neural Network (2018) (101)
- A survey on representation-based classification and detection in hyperspectral remote sensing imagery (2016) (99)
- Firefly-Algorithm-Inspired Framework With Band Selection and Extreme Learning Machine for Hyperspectral Image Classification (2017) (98)
- Semisupervised Band Clustering for Dimensionality Reduction of Hyperspectral Imagery (2011) (95)
- Hyperspectral Anomaly Detection by Fractional Fourier Entropy (2019) (93)
- End-member extraction for hyperspectral image analysis. (2008) (93)
- Performance evaluation for pan-sharpening techniques (2005) (92)
- Collaborative-Representation-Based Nearest Neighbor Classifier for Hyperspectral Imagery (2015) (88)
- Sparse and Low-Rank Graph for Discriminant Analysis of Hyperspectral Imagery (2016) (87)
- A Comparative Study on Linear Regression-Based Noise Estimation for Hyperspectral Imagery (2013) (86)
- Hyperspectral Unmixing Using Sparsity-Constrained Deep Nonnegative Matrix Factorization With Total Variation (2018) (85)
- Estimation of the spatial distribution of heavy metal in agricultural soils using airborne hyperspectral imaging and random forest. (2020) (84)
- Multi-Modal and Multi-Temporal Data Fusion: Outcome of the 2012 GRSS Data Fusion Contest (2013) (82)
- Spatial–Spectral Feature Extraction via Deep ConvLSTM Neural Networks for Hyperspectral Image Classification (2019) (79)
- Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture (2020) (77)
- Low-Rank and Sparse Decomposition With Mixture of Gaussian for Hyperspectral Anomaly Detection (2020) (77)
- Hyperspectral Band Selection Using Improved Firefly Algorithm (2016) (77)
- Color Display for Hyperspectral Imagery (2008) (75)
- Self-Paced Joint Sparse Representation for the Classification of Hyperspectral Images (2019) (74)
- Hyperspectral Image Classification Using Band Selection and Morphological Profiles (2014) (70)
- Hyperspectral Classification Based on Texture Feature Enhancement and Deep Belief Networks (2018) (69)
- Object Tracking in Satellite Videos by Fusing the Kernel Correlation Filter and the Three-Frame-Difference Algorithm (2018) (67)
- Nonlinear Spectral Mixture Analysis for Hyperspectral Imagery in an Unknown Environment (2010) (67)
- Automatic target recognition for hyperspectral imagery using high-order statistics (2006) (66)
- Robust Joint Sparse Representation Based on Maximum Correntropy Criterion for Hyperspectral Image Classification (2017) (66)
- Discriminative Reconstruction Constrained Generative Adversarial Network for Hyperspectral Anomaly Detection (2020) (64)
- Real-time constrained linear discriminant analysis to target detection and classification in hyperspectral imagery (2003) (64)
- Hyperspectral Image Classification by Fusing Collaborative and Sparse Representations (2016) (61)
- An efficient semi-supervised classification approach for hyperspectral imagery (2014) (61)
- Multiscale Morphological Compressed Change Vector Analysis for Unsupervised Multiple Change Detection (2017) (60)
- Linear mixture analysis-based compression for hyperspectral image analysis (2004) (60)
- Dimensionality Reduction of Hyperspectral Image with Graph-Based Discriminant Analysis Considering Spectral Similarity (2017) (58)
- Hyperspectral Pansharpening With Deep Priors (2020) (57)
- Multifeature Dictionary Learning for Collaborative Representation Classification of Hyperspectral Imagery (2018) (57)
- Hyperspectral Image Classification Using Weighted Joint Collaborative Representation (2015) (57)
- A Hybrid Approach for Building Extraction From Spaceborne Multi-Angular Optical Imagery (2012) (57)
- Segmented Principal Component Analysis for Parallel Compression of Hyperspectral Imagery (2009) (56)
- Discriminant Analysis-Based Dimension Reduction for Hyperspectral Image Classification: A Survey of the Most Recent Advances and an Experimental Comparison of Different Techniques (2018) (56)
- Estimating the distribution trend of soil heavy metals in mining area from HyMap airborne hyperspectral imagery based on ensemble learning. (2020) (56)
- Fast and Latent Low-Rank Subspace Clustering for Hyperspectral Band Selection (2020) (55)
- Ensemble Learning for Hyperspectral Image Classification Using Tangent Collaborative Representation (2020) (54)
- Automatic Registration and Mosaicking for Airborne Multispectral Image Sequences (2008) (53)
- Collaborative Graph-Based Discriminant Analysis for Hyperspectral Imagery (2014) (52)
- Fast and Robust Self-Representation Method for Hyperspectral Band Selection (2017) (51)
- Caps-TripleGAN: GAN-Assisted CapsNet for Hyperspectral Image Classification (2019) (50)
- Independent-component analysis for hyperspectral remote sensing imagery classification (2006) (49)
- Hyperspectral Anomaly Detection Using Collaborative Representation With Outlier Removal (2018) (49)
- Information Fusion for Classification of Hyperspectral and LiDAR Data Using IP-CNN (2021) (48)
- Decision Fusion on Supervised and Unsupervised Classifiers for Hyperspectral Imagery (2010) (47)
- Modified Tensor Locality Preserving Projection for Dimensionality Reduction of Hyperspectral Images (2018) (47)
- Integrating spectral and spatial information into deep convolutional Neural Networks for hyperspectral classification (2016) (47)
- Hyperspectral Image Visualization Using Band Selection (2014) (46)
- A signal-decomposed and interference-annihilated approach to hyperspectral target detection (2004) (46)
- Adjusted Spectral Matched Filter for Target Detection in Hyperspectral Imagery (2015) (46)
- Automated Target Detection and Discrimination Using Constrained Kurtosis Maximization (2008) (46)
- Fast real-time onboard processing of hyperspectral imagery for detection and classification (2009) (45)
- Laplacian Regularized Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery (2016) (45)
- GPU Parallel Implementation of Support Vector Machines for Hyperspectral Image Classification (2015) (44)
- PSO-EM: A Hyperspectral Unmixing Algorithm Based On Normal Compositional Model (2014) (44)
- Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation (2019) (44)
- Image Registration With Fourier-Based Image Correlation: A Comprehensive Review of Developments and Applications (2019) (44)
- Band selection and its impact on target detection and classification in hyperspectral image analysis (2003) (43)
- Hyperspectral Image Super-Resolution by Band Attention Through Adversarial Learning (2020) (43)
- Hyperspectral Image Classification With Imbalanced Data Based on Orthogonal Complement Subspace Projection (2018) (43)
- Robust Capsule Network Based on Maximum Correntropy Criterion for Hyperspectral Image Classification (2020) (43)
- Evaluation of the spatio-temporal pattern of urban ecological security using remote sensing and GIS (2013) (41)
- Discriminative Transfer Joint Matching for Domain Adaptation in Hyperspectral Image Classification (2019) (41)
- Hyperspectral Imagery Visualization Using Double Layers (2007) (40)
- Hyperspectral band selection using a collaborative sparse model (2012) (40)
- Efficient Deep Learning of Nonlocal Features for Hyperspectral Image Classification (2020) (39)
- Random forest–based estimation of heavy metal concentration in agricultural soils with hyperspectral sensor data (2019) (39)
- Vehicle Detection of Multi-source Remote Sensing Data Using Active Fine-tuning Network (2020) (38)
- An ROC analysis for subpixel detection (2001) (37)
- Sparse Representation-Based Nearest Neighbor Classifiers for Hyperspectral Imagery (2015) (37)
- Prior-Based Tensor Approximation for Anomaly Detection in Hyperspectral Imagery (2020) (37)
- Spatial and Spectral Joint Super-Resolution Using Convolutional Neural Network (2020) (37)
- An Operational Approach to PCA+JPEG2000 Compression of Hyperspectral Imagery (2014) (36)
- Unsupervised Hyperspectral Remote Sensing Image Clustering Based on Adaptive Density (2018) (36)
- Robust Hyperspectral Image Classification by Multi-Layer Spatial-Spectral Sparse Representations (2016) (36)
- Deep Cross-Domain Few-Shot Learning for Hyperspectral Image Classification (2021) (36)
- Unsupervised linear unmixing for change detection in multitemporal airborne hyperspectral imagery (2005) (36)
- Hyperspectral Dimensionality Reduction by Tensor Sparse and Low-Rank Graph-Based Discriminant Analysis (2017) (36)
- Low rank and collaborative representation for hyperspectral anomaly detection via robust dictionary construction (2020) (36)
- Hyperspectral Anomaly Detection: A survey (2022) (36)
- Cross-Scene Hyperspectral Image Classification With Discriminative Cooperative Alignment (2021) (35)
- HTD-Net: A Deep Convolutional Neural Network for Target Detection in Hyperspectral Imagery (2020) (35)
- Combination of multispectral remote sensing, variable rate technology and environmental modeling for citrus pest management. (2008) (35)
- Variants of N-FINDR algorithm for endmember extraction (2008) (34)
- Comparison between constrained energy minimization based approaches for hyperspectral imagery (2003) (34)
- Hyperspectral Image Classification Using Attention-Based Bidirectional Long Short-Term Memory Network (2021) (33)
- A Randomized Subspace Learning Based Anomaly Detector for Hyperspectral Imagery (2018) (33)
- Deep Kernel Extreme-Learning Machine for the Spectral-Spatial Classification of Hyperspectral Imagery (2018) (33)
- A New Box-Counting Method for Estimation of Image Fractal Dimension (2006) (33)
- Kernel Collaborative Representation With Local Correlation Features for Hyperspectral Image Classification (2019) (32)
- Kernel low-rank representation with elastic net for China coastal wetland land cover classification using GF-5 hyperspectral imagery (2021) (32)
- Semisupervised Discriminant Analysis for Hyperspectral Imagery With Block-Sparse Graph (2015) (32)
- Simultaneous Spatial and Spectral Low-Rank Representation of Hyperspectral Images for Classification (2018) (32)
- Supervised Sub-Pixel Mapping for Change Detection from Remotely Sensed Images with Different Resolutions (2017) (31)
- Anomaly Detection in Hyperspectral Imagery Based on Low-Rank Representation Incorporating a Spatial Constraint (2019) (31)
- Low-Rank Subspace Representation for Estimating the Number of Signal Subspaces in Hyperspectral Imagery (2015) (31)
- Band Selection-Based Dimensionality Reduction for Change Detection in Multi-Temporal Hyperspectral Images (2017) (30)
- A3 CLNN: Spatial, Spectral and Multiscale Attention ConvLSTM Neural Network for Multisource Remote Sensing Data Classification (2020) (30)
- Correntropy-Based Sparse Spectral Clustering for Hyperspectral Band Selection (2020) (30)
- Semisupervised Spectral Learning With Generative Adversarial Network for Hyperspectral Anomaly Detection (2020) (30)
- Lateral-Slice Sparse Tensor Robust Principal Component Analysis for Hyperspectral Image Classification (2020) (29)
- Hyperspectral and Multispectral Classification for Coastal Wetland Using Depthwise Feature Interaction Network (2022) (29)
- DDLPS: Detail-Based Deep Laplacian Pansharpening for Hyperspectral Imagery (2019) (29)
- Reconstructions from Compressive Random Projections of Hyperspectral Imagery (2011) (29)
- HPGAN: Hyperspectral Pansharpening Using 3-D Generative Adversarial Networks (2021) (29)
- Self-Paced Nonnegative Matrix Factorization for Hyperspectral Unmixing (2020) (29)
- Change Detection in Synthetic Aperture Radar Images Using a Dual-Domain Network (2021) (28)
- Foreword to the special issue on hyperspectral remote sensing: Theory, methods, and applications (2013) (28)
- Deep Multilayer Fusion Dense Network for Hyperspectral Image Classification (2020) (28)
- Reconstruction From Random Projections of Hyperspectral Imagery With Spectral and Spatial Partitioning (2013) (28)
- GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection (2019) (28)
- Anomaly-Based JPEG2000 Compression of Hyperspectral Imagery (2008) (27)
- Weakly Supervised Low-Rank Representation for Hyperspectral Anomaly Detection (2021) (27)
- Classification of hyperspectral urban data using adaptive simultaneous orthogonal matching pursuit (2014) (27)
- A Parallel Gaussian–Bernoulli Restricted Boltzmann Machine for Mining Area Classification With Hyperspectral Imagery (2019) (27)
- Optimizing extreme learning machine for hyperspectral image classification (2015) (27)
- Unsupervised Change Detection in Multispectral Remote Sensing Images via Spectral-Spatial Band Expansion (2019) (27)
- Low-Rank Subspace Representation for Supervised and Unsupervised Classification of Hyperspectral Imagery (2016) (27)
- Fast SVD With Random Hadamard Projection for Hyperspectral Dimensionality Reduction (2016) (26)
- Ant colony optimization-based supervised and unsupervised band selections for hyperspectral urban data classification (2014) (26)
- Class-Wise Distribution Adaptation for Unsupervised Classification of Hyperspectral Remote Sensing Images (2021) (26)
- Particle swarm optimization-based band selection for hyperspectral target detection (2017) (26)
- Transferred deep learning for hyperspectral target detection (2017) (26)
- Structure-Aware Collaborative Representation for Hyperspectral Image Classification (2019) (26)
- Foreword to the Special Issue on High Performance Computing in Earth Observation and Remote Sensing (2011) (25)
- On the Impact of Atmospheric Correction on Lossy Compression of Multispectral and Hyperspectral Imagery (2009) (25)
- Hyperspectral Band Selection Using Weighted Kernel Regularization (2019) (25)
- Noise subspace projection approaches to determination of intrinsic dimensionality of hyperspectral imagery (1999) (25)
- Hyperspectral band clustering and band selection for urban land cover classification (2012) (25)
- Independent component analysis approach to image sharpening in the presence of atmospheric turbulence (2004) (25)
- Locality Sensitive Discriminant Analysis for Group Sparse Representation-Based Hyperspectral Imagery Classification (2017) (24)
- Local Spectral Similarity Preserving Regularized Robust Sparse Hyperspectral Unmixing (2019) (24)
- Discriminant Analysis of Hyperspectral Imagery Using Fast Kernel Sparse and Low-Rank Graph (2017) (24)
- Noise-Adjusted Principal Component Analysis for Buried Radioactive Target Detection and Classification (2010) (24)
- Implementation of real-time constrained linear discriminant analysis to remote sensing image classification (2005) (24)
- Improving urban land use and land cover classification from high-spatial-resolution hyperspectral imagery using contextual information (2010) (24)
- Remote sensing images super-resolution with deep convolution networks (2019) (23)
- An efficient radial basis function neural network for hyperspectral remote sensing image classification (2016) (23)
- Deep nonsmooth nonnegative matrix factorization network with semi-supervised learning for SAR image change detection (2020) (23)
- Generative Dual-Adversarial Network With Spectral Fidelity and Spatial Enhancement for Hyperspectral Pansharpening (2021) (23)
- Equivalent-Sparse Unmixing Through Spatial and Spectral Constrained Endmember Selection From an Image-Derived Spectral Library (2015) (22)
- Fusing China GF-5 Hyperspectral Data with GF-1, GF-2 and Sentinel-2A Multispectral Data: Which Methods Should Be Used? (2020) (22)
- Spectral/Spatial Hyperspectral Image Compression (2006) (22)
- Fast supervised hyperspectral band selection using graphics processing unit (2012) (22)
- Fast motion detection from airborne videos using graphics processing unit (2012) (22)
- Feature-Driven Multilayer Visualization for Remotely Sensed Hyperspectral Imagery (2010) (22)
- Hyperspectral Change Detection Based on Multiple Morphological Profiles (2021) (22)
- A novel surface water index using local background information for long term and large-scale Landsat images (2021) (22)
- Background Learning Based on Target Suppression Constraint for Hyperspectral Target Detection (2020) (21)
- Feature Extraction and Classification Based on Spatial-Spectral ConvLSTM Neural Network for Hyperspectral Images (2019) (21)
- SRUN: Spectral Regularized Unsupervised Networks for Hyperspectral Target Detection (2020) (21)
- Hyperspectral Image Restoration Based on Low-Rank Recovery With a Local Neighborhood Weighted Spectral–Spatial Total Variation Model (2019) (21)
- Random Subspace-Based k-Nearest Class Collaborative Representation for Hyperspectral Image Classification (2021) (21)
- Multitemporal Hyperspectral Image Compression (2011) (21)
- Adaptive DropBlock-Enhanced Generative Adversarial Networks for Hyperspectral Image Classification (2020) (20)
- Decision Fusion of D-InSAR and Pixel Offset Tracking for Coal Mining Deformation Monitoring (2018) (20)
- Analysis of feeding and drinking behaviors of group-reared broilers via image processing (2020) (20)
- Hyperspectral Image Classification by Exploring Low-Rank Property in Spectral or/and Spatial Domain (2017) (20)
- Unsupervised real-time constrained linear discriminant analysis to hyperspectral image classification (2007) (19)
- Tensor Low-Rank Discriminant Embedding for Hyperspectral Image Dimensionality Reduction (2018) (19)
- Decision fusion for dual-window-based hyperspectral anomaly detector (2015) (19)
- A Novel Tri-Training Technique for Semi-Supervised Classification of Hyperspectral Images Based on Diversity Measurement (2016) (19)
- Anomaly Detection in Hyperspectral Imagery Based on Gaussian Mixture Model (2021) (19)
- Sparse and Low-Rank Constrained Tensor Factorization for Hyperspectral Image Unmixing (2021) (18)
- Optimized maximum noise fraction for dimensionality reduction of Chinese HJ-1A hyperspectral data (2013) (18)
- CVA2E: A Conditional Variational Autoencoder With an Adversarial Training Process for Hyperspectral Imagery Classification (2020) (18)
- Deep Latent Spectral Representation Learning-Based Hyperspectral Band Selection for Target Detection (2020) (18)
- A Full-Coverage Daily Average PM2.5 Retrieval Method with Two-Stage IVW Fused MODIS C6 AOD and Two-Stage GAM Model (2019) (18)
- Learning hyperspectral images from RGB images via a coarse-to-fine CNN (2021) (18)
- 2011 GRSS Data Fusion Contest: Exploiting WorldView-2 multi-angular acquisitions (2011) (17)
- A Novel Tri-Training Technique for the Semi-Supervised Classification of Hyperspectral Images Based on Regularized Local Discriminant Embedding Feature Extraction (2019) (17)
- Unsupervised nearest regularized subspace for anomaly detection in hyperspectral imagery (2013) (16)
- Hidden Markov model approach to spectral analysis for hyperspectral imagery (2001) (16)
- Characterization of Background-Anomaly Separability With Generative Adversarial Network for Hyperspectral Anomaly Detection (2021) (16)
- Generative Adversarial Capsule Network With ConvLSTM for Hyperspectral Image Classification (2021) (16)
- Hyperspectral Image Classification via Low-Rank and Sparse Representation With Spectral Consistency Constraint (2017) (16)
- Nuclear norm-based matrix regression preserving embedding for face recognition (2018) (16)
- Hyperspectral Image Super-Resolution with 1D-2D Attentional Convolutional Neural Network (2019) (16)
- A New Sequential Algorithm for Hyperspectral Endmember Extraction (2012) (16)
- Collaborative classification of hyperspectral and visible images with convolutional neural network (2017) (16)
- An interference rejection-based radial basis function neural network for hyperspectral image classification (1999) (15)
- Hyperspectral image super-resolution via convolutional neural network (2017) (15)
- Applying six classifiers to airborne hyperspectral imagery for detecting giant reed (2012) (15)
- Discriminative Marginalized Least Squares Regression for Hyperspectral Image Classification (2019) (15)
- Unsupervised Feature Extraction for Hyperspectral Imagery Using Collaboration-Competition Graph (2018) (15)
- Spectral Variation Alleviation by Low-Rank Matrix Approximation for Hyperspectral Image Analysis (2016) (15)
- Dual-Branch Difference Amplification Graph Convolutional Network for Hyperspectral Image Change Detection (2022) (15)
- Deep Prototypical Networks With Hybrid Residual Attention for Hyperspectral Image Classification (2020) (15)
- Random-projection-based dimensionality reduction and decision fusion for hyperspectral target detection (2011) (15)
- Evaluating Convolutional Neural Networks for Cage-Free Floor Egg Detection (2020) (15)
- Enhanced TabNet: Attentive Interpretable Tabular Learning for Hyperspectral Image Classification (2022) (15)
- Using CNN-based high-level features for remote sensing scene classification (2016) (15)
- Tangent Distance-Based Collaborative Representation for Hyperspectral Image Classification (2016) (15)
- Applying linear spectral unmixing to airborne hyperspectral imagery for mapping yield variability in grain sorghum and cotton fields (2010) (14)
- Autoencoder and Adversarial-Learning-Based Semisupervised Background Estimation for Hyperspectral Anomaly Detection (2020) (14)
- Weighted-Fusion-Based Representation Classifiers for Hyperspectral Imagery (2015) (14)
- Spatial-spectral Based Multi-view Low-rank Sparse Sbuspace Clustering for Hyperspectral Imagery (2018) (14)
- Semi-supervised dimensionality reduction using orthogonal projection divergence-based clustering for hyperspectral imagery (2012) (14)
- Citrus pest stress monitoring using airborne hyperspectral imagery (2004) (14)
- Hyperspectral and LiDAR Data Classification Using Kernel Collaborative Representation Based Residual Fusion (2019) (14)
- Segmented PCA-based compression for hyperspectral image analysis (2004) (14)
- Log-Euclidean Kernel-Based Joint Sparse Representation for Hyperspectral Image Classification (2019) (14)
- Remote Sensing Scene Classification Using Sparse Representation-Based Framework With Deep Feature Fusion (2021) (14)
- Dimensionality Reduction and Linear Discriminant Analysis for Hyperspectral Image Classification (2008) (14)
- Report on the 2013 IEEE GRSS Data Fusion Contest: Fusion of Hyperspectral and LiDAR Data [Technical Committees] (2013) (14)
- Sensor-Independent Hyperspectral Target Detection With Semisupervised Domain Adaptive Few-Shot Learning (2021) (14)
- Hyperspectral image classification for mapping agricultural tillage practices (2015) (13)
- Subpixel Change Detection of Multitemporal Remote Sensed Images Using Variability of Endmembers (2017) (13)
- Dual-Channel Residual Network for Hyperspectral Image Classification With Noisy Labels (2021) (13)
- Particle swarm optimization-based dimensionality reduction for hyperspectral image classification (2011) (13)
- Weakly Supervised Discriminative Learning With Spectral Constrained Generative Adversarial Network for Hyperspectral Anomaly Detection (2021) (13)
- Independent Component Analysis for Classifying Multispectral Images with Dimensionality Limitation (2004) (13)
- Change Analysis for Hyperspectral Imagery (2007) (13)
- Classification performance of random-projection-based dimensionality reduction of hyperspectral imagery (2009) (13)
- Hyperspectral image classification with improved local-region filters (2014) (13)
- Particle swarm optimization based spectral transformation for radioactive material detection and classification (2010) (12)
- A joint optical flow and principal component analysis approach for motion detection (2010) (12)
- Novel Cross-Resolution Feature-Level Fusion for Joint Classification of Multispectral and Panchromatic Remote Sensing Images (2022) (12)
- Optimal linear unmixing for hyperspectral image analysis (2004) (11)
- Unsupervised band selection for hyperspectral image analysis (2007) (11)
- Patch Tensor-Based Multigraph Embedding Framework for Dimensionality Reduction of Hyperspectral Images (2020) (11)
- Synthetic Aperture Radar Image Change Detection via Siamese Adaptive Fusion Network (2021) (11)
- Combining Multiple Classifiers for Domain Adaptation of Remote Sensing Image Classification (2021) (11)
- Hyperspectral image classification based on spectra derivative features and locality preserving analysis (2014) (11)
- Support vector machine with adaptive composite kernel for hyperspectral image classification (2015) (11)
- Modified multiple endmember spectral mixture analysis for mapping impervious surfaces in urban environments (2014) (11)
- A Novel Multitemporal Deep Fusion Network (MDFN) for Short-Term Multitemporal HR Images Classification (2021) (11)
- Multitemporal Hyperspectral Image Super-Resolution through 3D Generative Adversarial Network (2019) (11)
- Hyperspectral and Panchromatic Image Fusion via Adaptive Tensor and Multi-Scale Retinex Algorithm (2020) (11)
- Hyperspectral Classification Based on Siamese Neural Network Using Spectral-Spatial Feature (2018) (11)
- Gabor feature-based composite kernel method for hyperspectral image classification (2018) (11)
- Superpixel-Guided Discriminative Low-Rank Representation of Hyperspectral Images for Classification (2021) (11)
- E2E-LIADE: End-to-End Local Invariant Autoencoding Density Estimation Model for Anomaly Target Detection in Hyperspectral Image (2021) (11)
- MSSL: Hyperspectral and Panchromatic Images Fusion via Multiresolution Spatial–Spectral Feature Learning Networks (2021) (10)
- Sketch-Based Subspace Clustering of Hyperspectral Images (2020) (10)
- Multi-Direction Networks With Attentional Spectral Prior for Hyperspectral Image Classification (2021) (10)
- A new method for change analysis of multi-temporal hyperspectral images (2012) (10)
- A Multi-Scale Superpixel-Guided Filter Feature Extraction and Selection Approach for Classification of Very-High-Resolution Remotely Sensed Imagery (2020) (10)
- Weighted decision fusion for supervised and unsupervised hyperspectral image classification (2009) (10)
- Hyperspectral Image Classification Based on Capsule Network (2018) (10)
- Dependent component analysis for blind restoration of images degraded by turbulent atmosphere (2009) (10)
- Implementation of Low-Complexity Principal Component Analysis for Remotely Sensed Hyperspectral-Image Compression (2007) (10)
- Fusion of Radiation and Electromagnetic Induction Data for Buried Radioactive Target Detection and Characterization (2013) (10)
- Decision fusion for hyperspectral image classification based on minimum-distance classifiers in thewavelet domain (2014) (10)
- Learning sensor-specific features for hyperspectral images via 3-dimensional convolutional autoencoder (2017) (10)
- [Orthogonal projection divergence-based hyperspectral band selection]. (2011) (10)
- Classification of levee slides from airborne synthetic aperture radar images with efficient spatial feature extraction (2015) (10)
- Dual 1D-2D Spatial-Spectral CNN for Hyperspectral Image Super-Resolution (2019) (9)
- Adaptive Cross-Attention-Driven Spatial–Spectral Graph Convolutional Network for Hyperspectral Image Classification (2022) (9)
- Virtual dimensionality estimation for hyperspectral imagery with a fractal-based method (2010) (9)
- Spatial Constrained Hyperspectral Reconstruction from RGB Inputs Using Dictionary Representation (2019) (9)
- A Novel Feature Fusion Approach for VHR Remote Sensing Image Classification (2021) (9)
- Hyperspectral Classification Via Spatial Context Exploration with Multi-Scale CNN (2018) (9)
- Spectral Variability Augmented Sparse Unmixing of Hyperspectral Images (2021) (9)
- Urban Classification by the Fusion of Thermal Infrared Hyperspectral and Visible Data (2015) (9)
- A Multiscale Spectral Features Graph Fusion Method for Hyperspectral Band Selection (2021) (9)
- Low-Complexity Hyperspectral Image Compression Using Folded PCA and JPEG2000 (2018) (9)
- A Dual Global-local Attention Network for Hyperspectral Band Selection (2022) (8)
- Heterogeneous Few-Shot Learning for Hyperspectral Image Classification (2022) (8)
- Hyperspectral image classification with low-rank subspace and sparse representation (2015) (8)
- Spatial-Aware Collaboration–Competition Preserving Graph Embedding for Hyperspectral Image Classification (2021) (8)
- Hadamard-Walsh random projection for hyperspectral image classification (2016) (8)
- A New Linear Mixture Model for Hyperspectral Image Analysis (2008) (8)
- Hyperspectral Image Classification via Sparse Representation With Incremental Dictionaries (2020) (8)
- Joint Classification of Hyperspectral and Multispectral Images for Mapping Coastal Wetlands (2021) (8)
- Improving Spectral-Based Endmember Finding by Exploring Spatial Context for Hyperspectral Unmixing (2020) (8)
- A General Loss-Based Nonnegative Matrix Factorization for Hyperspectral Unmixing (2020) (8)
- Multiscale Low-Rank Spatial Features for Hyperspectral Image Classification (2020) (8)
- Extended multi-structure local binary pattern for high-resolution image scene classification (2016) (8)
- Feature Extraction for Hyperspectral Images Using Local Contain Profile (2019) (8)
- A Dual-Branch Detail Extraction Network for Hyperspectral Pansharpening (2022) (8)
- Discriminative Semi-Supervised Generative Adversarial Network for Hyperspectral Anomaly Detection (2020) (8)
- Adaptive sparse representation for hyperspectral image classification (2015) (8)
- Classifying hyperspectral remote sensing imagery with independent component analysis (2005) (8)
- Bayesian Unmixing of Hyperspectral Image Sequence With Composite Priors for Abundance and Endmember Variability (2022) (7)
- A study between orthogonal subspace projection and generalized likelihood ratio test in hyperspectral image analysis (2002) (7)
- Anomaly-Based Hyperspectral Image Compression (2008) (7)
- Deep Residual Network-Based Fusion Framework for Hyperspectral and LiDAR Data (2021) (7)
- Spatial-aware probabilistic collaborative representation for hyperspectral image classification (2020) (7)
- An operational approach for hyperspectral image compression (2012) (7)
- Decision fusion for supervised and unsupervised hyperspectral image classification (2009) (7)
- Hyperspectral image compression and target detection using nonlinear principal component analysis (2013) (7)
- Nonlinear classification of multispectral imagery using representation-based classifiers (2017) (7)
- An efficient spatial-spectral classification method for hyperspectral imagery (2014) (7)
- Unsupervised Manifold Alignment for Cross-Domain Classification of Remote Sensing Images (2019) (7)
- Joint Correlation Alignment-Based Graph Neural Network for Domain Adaptation of Multitemporal Hyperspectral Remote Sensing Images (2021) (7)
- Kernel one-class weighted sparse representation classification for change detection (2018) (7)
- Improving the quality of extracted endmembers (2009) (7)
- Noise-Adjusted Principle Component Analysis For Hyperspectral Remotely Sensed Imagery Visualization (2005) (7)
- Recurrent Feedback Convolutional Neural Network for Hyperspectral Image Classification (2021) (7)
- Hyperspectral and LiDAR Data Fusion Classification Using Superpixel Segmentation-Based Local Pixel Neighborhood Preserving Embedding (2019) (7)
- On the performance of random-projection-based dimensionality reduction for endmember extraction (2010) (7)
- Efficient Probabilistic Collaborative Representation-Based Classifier for Hyperspectral Image Classification (2019) (7)
- Structure-Guided Feature Transform Hybrid Residual Network for Remote Sensing Object Detection (2021) (7)
- A comparative study on noise estimation for hyperspectral imagery (2012) (6)
- FPGA Based Implementation of Convolutional Neural Network for Hyperspectral Classification (2018) (6)
- Efficient anomaly detection and discrimination for hyperspectral imagery (2002) (6)
- Low-Rank and Collaborative Representation for Hyperspectral Anomaly Detection (2019) (6)
- Improving hyperspectral image classification using smoothing filter via sparse gradient minimization (2014) (6)
- Fast Band Selection for Hyperspectral Imagery (2011) (6)
- CascadeNet: Modified ResNet with Cascade Blocks (2018) (6)
- On the performance improvement for linear discriminant analysis-based hyperspectral image classification (2008) (6)
- Hyperspectral Image Reconstruction by Latent Low-Rank Representation for Classification (2018) (6)
- Investigation on constrained matrix factorization for hyperspectral image analysis (2005) (6)
- Graph Embedding and Distribution Alignment for Domain Adaptation in Hyperspectral Image Classification (2021) (6)
- Parallel Data Compression for Hyperspectral Imagery (2008) (6)
- Constrained weighted least squares approaches for target detection and classification in hyperspectral imagery (2002) (6)
- Sparse Coding-Inspired GAN for Hyperspectral Anomaly Detection in Weakly Supervised Learning (2021) (6)
- PERFORMANCE EVALUATION OF DSM EXTRACTION FROM ZY-3 THREE-LINE ARRAYS IMAGERY (2015) (6)
- Unsupervised target subpixel detection in hyperspectral imagery (2001) (6)
- Collaborative and Low-Rank Graph for Discriminant Analysis of Hyperspectral Imagery (2021) (6)
- Collaborative Classification of Hyperspectral and Lidar Data With Information Fusion and Deep Nets (2019) (5)
- SSCU-Net: Spatial–Spectral Collaborative Unmixing Network for Hyperspectral Images (2022) (5)
- Change detection with one-class sparse representation classifier (2016) (5)
- Kernel weighted joint collaborative representation for hyperspectral image classification (2015) (5)
- Integration of PCA and JPEG2000 for hyperspectral image compression (2007) (5)
- Sparse feature extraction for hyperspectral image classification (2015) (5)
- Particle Swarm Optimization-Based Band Selection for Hyperspectral Target Detection (2016) (5)
- Noise estimation for remote sensing image data analysis (2004) (5)
- Hyperspectral image analysis using noise-adjusted principal component transform (2006) (5)
- Estimating soil heavy metal concentration using hyperspectral data and weighted K-NN method (2016) (5)
- Lightweight Tensor Attention-Driven ConvLSTM Neural Network for Hyperspectral Image Classification (2021) (5)
- Improved sequential endmember extraction algorithms (2011) (5)
- GPU-based fast hyperspectral image classification using joint sparse representation with spectral consistency constraint (2018) (5)
- Hyperspectral target detection with sparseness constraint (2013) (5)
- Self-Supervised Robust Deep Matrix Factorization for Hyperspectral Unmixing (2022) (5)
- Band selection for change detection from hyperspectral images (2017) (5)
- Interference subspace projection approach to subpixel target detection (2001) (5)
- Parallel optimization-based spectral transformation for detection and classification of buried radioactive materials (2011) (4)
- Hidden Markov model approaches to hyperspectral image classification (2001) (4)
- Effective Detection of Buried Radioactive Waste - 9295 (2009) (4)
- Independent component analysis to hyperspectral image classification (2004) (4)
- Improved Random Projection with $K$-Means Clustering for Hyperspectral Image Classification (2018) (4)
- Estimation of number of signal subspaces in hyperspectral imagery using low-rank subspace representation (2014) (4)
- Hyperspectral Pansharpening Based on Homomorphic Filtering and Weighted Tensor Matrix (2019) (4)
- Discriminative Marginalized Least-Squares Regression for Hyperspectral Image Classification (2020) (4)
- Multiscale Alternately Updated Clique Network for Hyperspectral Image Classification (2022) (4)
- Hyperspectral image compression with the 3D dual-tree wavelet transform (2007) (4)
- Region-based collaborative sparse unmixing of hyperspectral imagery (2016) (4)
- Attention-Based Domain Adaptation Using Residual Network for Hyperspectral Image Classification (2020) (4)
- Comparison of spectral-spatial classification for urban hyperspectral imagery with high resolution (2009) (4)
- Improved classification of conservation tillage practices using hyperspectral imagery with spatial-spectral features (2014) (4)
- Random Hadamard Projections for Hyperspectral Unmixing (2017) (4)
- Improvement of background characterization for hyperspectral target detection (2012) (4)
- Hyperspectral Unmixing Based on Nonnegative Matrix Factorization: A Comprehensive Review (2022) (4)
- Ant colony optimization for supervised and unsupervised hyperspectral band selection (2013) (4)
- Sub-Pixel Mapping Based on MAP Model and Spatial Attraction Theory for Remotely Sensed Image (2017) (4)
- A Patch Tensor-Based Change Detection Method for Hyperspectral Images (2021) (4)
- Sparse graph embedding dimension reduction for hyperspectral image with a new spectral similarity metric (2017) (4)
- Noise-adjusted subspace linear discriminant analysis for hyperspectral-image classification (2012) (4)
- Hyperspectral Imagery Spatial Super-Resolution Using Generative Adversarial Network (2021) (4)
- A spectral-spatial multiscale approach for unsupervised multiple change detection (2017) (4)
- Hyperspectral image classification using band selection and morphological profile (2012) (4)
- Pseudolabel Guided Kernel Learning for Hyperspectral Image Classification (2019) (4)
- Decs-Net: Convolutional Self-Encoding Network for Hyperspectral Image Denoising (2019) (4)
- A Label Similarity Probability Filter for Hyperspectral Image Postclassification (2021) (4)
- Attention-based Domain Adaptation for Hyperspectral Image Classification (2019) (4)
- Multiscale Context-Aware Ensemble Deep KELM for Efficient Hyperspectral Image Classification (2020) (4)
- Band selection for hyperspectral image classification using extreme learning machine (2017) (4)
- Modified Fisher's linear discriminant analysis for hyperspectral image dimension reduction and classification (2006) (4)
- Hyperspectral imagery visualization using band selection (2012) (4)
- Applying spectral unmixing and support vector machine to airborne hyperspectral imagery for detecting giant reed (2011) (4)
- Nonlinear mixture analysis for hyperspectral imagery (2009) (4)
- High performance computing for hyperspectral image analysis: Perspective and state-of-the-art (2009) (4)
- Unsupervised hyperspectral band selection using parallel processing (2009) (4)
- An interference rejection approach to noise adjusted principal components transform (1998) (4)
- Decision fusion for classifying hyperspectral imagery with high spatial resolution (2009) (3)
- Hyperspectral image destriping using unmixing-based kriging interpolation (2016) (3)
- PTGAN: A Proposal-Weighted Two-Stage GAN with Attention for Hyperspectral Target Detection (2021) (3)
- Superpixel-Based Weighted Collaborative Sparse Regression and Reweighted Low-Rank Representation for Hyperspectral Image Unmixing (2022) (3)
- Spectral Distribution-Aware Estimation Network for Hyperspectral Anomaly Detection (2022) (3)
- Multi-Probe Based Artificial DNA Encoding and Matching Classifier for Hyperspectral Remote Sensing Imagery (2016) (3)
- Superpixel-Based Relaxed Collaborative Representation With Band Weighting for Hyperspectral Image Classification (2022) (3)
- Unsupervised Robust Projection Learning by Low-Rank and Sparse Decomposition for Hyperspectral Feature Extraction (2021) (3)
- Improvements to 3D-Tarp Coding for the Compression of Hyperspectral Imagery (2008) (3)
- Parallel collaborative representation for hyperspectral image classification on GPUs (2016) (3)
- Change Detection based on Stacked Generalization System with Segmentation Constraint (2018) (3)
- Enhanced Effective Detection of Buried Radioactive Waste - 10177 (2010) (3)
- Interference- and noise-adjusted principal component analysis for hyperspectral image compression (2004) (3)
- Spatial preprocessing for spectral endmember extraction by local linear embedding (2015) (3)
- Automatic endmember bundle unmixing methodology for lunar regional area mineral mapping (2019) (3)
- Multispectral image enhancement with extended offset-sparsity decomposition (2016) (3)
- Subpixel Mapping of Hyperspectral Images Using a Labeled-Unlabeled Hybrid Endmember Library and Abundance Optimization (2020) (3)
- Remote Sensing Image Translation via Style-Based Recalibration Module and Improved Style Discriminator (2021) (3)
- Real-time constrained linear discriminant analysis for hyperspectral imagery (2001) (3)
- Detection and classification of buried radioactive-metal objects using wideband EMI data (2011) (3)
- Hyperspectral Pansharpening via Local Intensity Component and Local Injection Gain Estimation (2022) (3)
- Performance analysis for CEM and OSP (2002) (3)
- Random-projection-based nonnegative least squares for hyperspectral image unmixing (2016) (3)
- Dual-Frequency Autoencoder for Anomaly Detection in Transformed Hyperspectral Imagery (2022) (3)
- A Partially Supervised Approach for Detection and Classification of Buried Radioactive Metal Targets Using Electromagnetic Induction Data (2013) (3)
- Hyperspectral feature extraction using contourlet transform (2012) (3)
- Color Representation and Classification for Hyperspectral Imagery (2006) (3)
- Joint Feature Extraction for Multispectral and Panchromatic Images Based on Convolutional Neural Network (2018) (2)
- Fusing two convolutional neural networks for high-resolution scene classification (2017) (2)
- Modified Structure-Aware Collaborative Representation for Hyperspectral Image Classification (2021) (2)
- Semi-Supervised Graph Prototypical Networks for Hyperspectral Image Classification (2021) (2)
- Orthogonal matching pursuit for nonlinear unmixing of hyperspectral imagery (2014) (2)
- Hyperspectral band selection with similarity assessment (2009) (2)
- Hyperspectral Image Compression Using Segmented Principal Component Analysis (2012) (2)
- Segmented PCA and JPEG2000 for hyperspectral image compression (2009) (2)
- A Novel Multiple Kernel Learning Framework for Remote Sensing Scene Classification (2018) (2)
- A Superpixel-Based Coastline Extraction Algorithm for Single-Polarized ENVISAT and ERS Imagery (2019) (2)
- Spatial-spectral classification with local regional filter and Markov random field (2015) (2)
- Foreword to the Special Issue on Pattern Recognition in Remote Sensing (2014) (2)
- Modified Extinction Profiles for Hyperspectral Image Classification (2018) (2)
- Optimized Spectral Transformation for Detection and Classification of Buried Radioactive Materials (2012) (2)
- Tri_training for remote sensing classification based on multi-scale homogeneity (2016) (2)
- Postprocessing technique for Lagrangian artificial neural network approach to hyperspectral image classification (2003) (2)
- Revisiting the target-constrained interference-minimized filter (TCIMF) (2004) (2)
- Multitemporal Hyperspectral Image Classification using Collaborative Representation-based Classification with Tikhonov Regularization (2019) (2)
- Dynamic Ensemble Learning With Multi-View Kernel Collaborative Subspace Clustering for Hyperspectral Image Classification (2022) (2)
- Parallel Multi-view Low-rank and Sparse Subspace Clustering for Unsupervised Hyperspectral Image Classification (2018) (2)
- Extended Collaborative Representation-Based Hyperspectral Imagery Classification (2022) (2)
- Joint low rank and sparse representation-based hyperspectral image classification (2016) (2)
- Hyperspectral target detection assessment using an online evaluation system (2010) (2)
- Hyperspectral image segmentation with low-rank representation and spectral clustering (2015) (2)
- Adversarially regularized autoencoder for hyperspectral image unmixing (2020) (2)
- Spectral-Spatial Constrained Nonnegative Matrix Factorization for Spectral Mixture Analysis of Hyperspectral Images (2021) (2)
- Adaptive Gaussian mixture estimation and its application to unsupervised classification of remotely sensed images (2003) (2)
- Semisupervised classification of hyperspectral remote sensing images with spatial majority voting (2016) (2)
- Gabor-Filtering-Based Probabilistic Collaborative Representation for Hyperspectral Image Classification (2018) (2)
- Local Sparse Representation Based Spatial Preprocessing For Endmember Extraction (2019) (2)
- Context-Aware Guided Attention Based Cross-Feedback Dense Network for Hyperspectral Image Super-Resolution (2022) (2)
- Unsupervised hyperspectral image classification using blind source separation (2003) (2)
- Collaborative representation based k-nearest neighbor classifier for hyperspectral imagery (2014) (2)
- On the performance of CEM and TCIMF (2005) (2)
- Hyperspectral Image Classification Via Sample Expansion for Convolutional Neural Network (2018) (2)
- Spectral unmixing of airborne hyperspectral imagery for mapping giant reed infestations (2010) (2)
- Discriminative CNN Via Metric Learning for Hyperspectral Classification (2019) (2)
- Joint sparse and collaborative representation for target detection in hyperspectral imagery (2014) (2)
- Sensor-specific Transfer Learning for Hyperspectral Image Processing (2019) (2)
- Hyperspectral Image Classification Using Hierarchical Spatial-Spectral Transformer (2022) (1)
- Remote Sensing Image Visualization Using Double Layers (2006) (1)
- Weighted Residual Dynamic Ensemble Learning for Hyperspectral Image Classification (2022) (1)
- Hyperspectral image classification using multiple features and nearest regularized subspace (2015) (1)
- Dimensionality reduction of hyperspectral imagery with sparse and collaborative graphs (2014) (1)
- On the performance of endmember extraction algorithms for hyperspectral image analysis (2008) (1)
- Lagrange constrained neural network-based approach to hyperspectral remote sensing image classification (2003) (1)
- Radiation and Electromagnetic Induction Data Fusion for Detection of Buried Radioactive Metal Waste - 12282 (2012) (1)
- Hidden Markov model-based spectral measure for hyperspectral image analysis (2000) (1)
- Rank-Aware Generative Adversarial Network for Hyperspectral Band Selection (2022) (1)
- Low-complexity multiple collaborative representations for hyperspectral image classification (2017) (1)
- Combine labeled and unlabeled information for hyperspectral image classification (2013) (1)
- Hyperspectral and Panchromatic Image Fusion Based on Weighted Tensor Matrix (2019) (1)
- Hyperspectral Image Classification Based on Tensor-Train Convolutional Long Short-Term Memory (2020) (1)
- Parallel and Distributed Computing for Anomaly Detection From Hyperspectral Remote Sensing Imagery (2021) (1)
- Dependent component analysis for multi-frame image restoration and enhancement (2008) (1)
- Parallel random selection and projection for hyperspectral image analysis (2014) (1)
- Orthogonal Graph-regularized Non-negative Matrix Factorization for Hyperspectral Image Clustering (2019) (1)
- Representation-based classification for hyperspectral imagery: An elastic net regularization approach (2015) (1)
- A linear mixture analysis-based compression for hyperspectral image analysis (2000) (1)
- Diversity-Driven Multikernel Collaborative Representation Ensemble for Hyperspectral Image Classification (2022) (1)
- Tensor-based offset-sparsity decomposition for hyperspectral image classification (2017) (1)
- Land Cover Changes of Bagua Island with Collaborative Representation using Multi-Temporal Satellite Images (2019) (1)
- On the performance of target detection algorithms for hyperspectral imagery analysis (2005) (1)
- On performance improvement of vertex component analysis based endmember extraction from hyperspectral imagery (2014) (1)
- Realtime online data compression for hyperspectral imagery (2004) (1)
- Unsupervised Multi-Class Change Detection in Bitemporal Multispectral Images Using Band Expansion (2018) (1)
- Fast algorithm for searching endmember set per pixel (2010) (1)
- Augmented Associative Learning-Based Domain Adaptation for Classification of Hyperspectral Remote Sensing Images (2020) (1)
- Hyperspectral and LiDAR data fusion using collaborative representation (2020) (1)
- Real-Time Online Processing of Hyperspectral Imagery for Target Detection and Discrimination (2007) (1)
- Interference and noise adjusted principal components analysis for hyperspectral remote sensing image compression (2006) (1)
- An Evaluation of Visualization Techniques for Remotely Sensed Hyperspectral Imagery (2011) (1)
- Self-Balancing Dictionary Learning for Relaxed Collaborative Representation of Hyperspectral Image Classification (2022) (1)
- Hierarchical band clustering for hyperspectral image analysis (2012) (1)
- Feature-Level Fusion of Landsat-8 OLI-SWIR and TIR Images for Fine Burned Area Change Detection (2019) (1)
- Decision fusion for buried radioactive target detection and discrimination using radiation and EMI data (2013) (1)
- Improving the performance of extreme learning machine for hyperspectral image classification (2015) (1)
- Improving the performance of sparse unmixing (2013) (1)
- Representation-based hyperspectral image classification with imbalanced data (2016) (1)
- L0-Motivated Low Rank Sparse Subspace Clustering for Hyperspectral Imagery (2020) (1)
- Real-time online processing for remote sensing imagery (2003) (1)
- Multiscale spectral-spatial hyperspectral classification using Multilinear PCA and contourlet transform (2013) (1)
- How to fully explore the low-rank property for data recovery of hyperspectral images (2016) (1)
- Corrections to "Multiscale Context-Aware Ensemble Deep KELM for Efficient Hyperspectral Image Classification" (2022) (1)
- Fusing different levels of deep features by deep stacked neural network for hyperspectral images (2017) (0)
- Hyperspectral classification using selected contourlet subbands (2012) (0)
- Message from Incoming Editor-in-Chief (2016) (0)
- Corrections to "A Novel Multitemporal Deep Fusion Network (MDFN) for Short-Term Multitemporal HR Images Classification" (2021) (0)
- Multisensor fusion for mini-UAV platforms (2006) (0)
- Guest Editorial Message From Editor-in-Chief (2020) (0)
- IMPROVING THE QUALITY OF EXTRACTEDENDMEMBERS (2009) (0)
- A mixture generative adversarial network with category multi-classifier for hyperspectral image classification (2020) (0)
- Parallel Multiview Low-rank and Sparse Subspace Clustering for Unsupervised Hyperspectral Image Classification (2018) (0)
- CRATER DETECTION USING TEXTURE FEATURE AND RANDOM PROJECTION DEPTH FUNCTION (2020) (0)
- Multispectral image classification using independent component analysis and data dimensionality expansion approaches (2004) (0)
- Siammraan: Siamese Multi-Level Residual Attention Adaptive Network for Hyperspectral Videos Tracking (2021) (0)
- An optimized band selection scheme for hyperspectral imagery analysis (2013) (0)
- Tensor factorization and continous wavelet transform for model-free single-frame blind image deconvolution (2011) (0)
- Localized processing for hyperspectral image analysis (2004) (0)
- Independent component analysis for remotely sensed image classification with limited data dimensionality (2004) (0)
- Noise-adjusted sparsity-preserving-based dimensionality reduction for hyperspectral image classification (2012) (0)
- Laplacian Regularized Spatial-Aware Collaborative Competitive Representation for Hyperspectral Dimensionality Reduction (2022) (0)
- Randomized non negative matrix factorization for hyperspectral image classification (2018) (0)
- Decision fusion for improved detection of buried radioactive objects (2013) (0)
- Multiscale spectral-spatial classification for hyperspectral imagery (2013) (0)
- Neural network approach for mobile bay water quality mapping with spaceborne measurements (2009) (0)
- Prof. Qian (Jenny) Du Becomes Editor-in-Chief of J-STARS Women in GRS (2016) (0)
- Probability Fusion for Hyperspectral and LiDAR Data (2020) (0)
- Hyperspectral Image Classification by Fractional Discrete Cosine Transform Based Feature Extraction (2021) (0)
- Real-time online unsupervised detection and classification for remotely sensed imagery (2004) (0)
- Dependent component analysis for hyperspectral image classification (2009) (0)
- Improving the performance of PCA and JPEG2000 for hyperspectral image compression (2008) (0)
- Endmember extraction by L2,0 constrained sparse dictionary selection (2015) (0)
- A novel endmember extraction method using modified maximum spectral screening (2013) (0)
- Estimation of mass and depth of buried radioactive materials using neural networks (2010) (0)
- A generalized representation-based approach for hyperspectral image classification (2016) (0)
- Reconstructions from Compressive 2 Random Projections of Hyperspectral 3 Imagery (2011) (0)
- Hyperspectral Imagery Super-Resolution Based on Self-Calibrated Attention Residual Network (2021) (0)
- 1 Reconstructions from Compressive 2 Random Projections of Hyperspectral (2011) (0)
- Real-time Decolorization using Dominant Colors (2014) (0)
- Airborne hyperspectral image analysis for grain sorghum yield variability mapping (2005) (0)
- Optimized Spectral Transformation for Detection and Classification of Buried Radioactive Waste-11310 (2011) (0)
- EFFECT OF IMAGE MATCHING WINDOW SIZE ON SATELLITE JITTER FREQUENCY DETECTION (2020) (0)
- Airborne Hyperspectral Remote Sensing of Urban Environments (2019) (0)
- Locality-constrained anomaly detection for hyperspectral imagery (2015) (0)
- Triplet-CSSVM: Integrating Triplet-Sampling CNN and Cost-Sensitive Classification for Imbalanced Image Detection (2019) (0)
- Collaborative and Low-Rank Graph for Discriminant Analysis of Hyperspectral Imagery (2021) (0)
- Real-time VLSI architecture for hyperspectral image classification using the constrained linear discriminant algorithm (2002) (0)
- Special Section Guest Editorial: Airborne Hyperspectral Remote Sensing of Urban Environments (2014) (0)
- Hyperspectral Image Change Detection Using Deep Learning And Band Expansion (2022) (0)
- Multiple-Feature Ideal Regularized Kernel for Hyperspectral Image Classification (2019) (0)
- Hierarchical Deep Feature Representation for High-Resolution Scene Classification (2019) (0)
- Adaptive Local Discriminant Analysis and Distribution Matching for Domain Adaptation in Hyperspectral Image Classification (2022) (0)
- Kernel Spatial-Spectral Based Multi-View Low-Rank Sparse Sbuspace Clustering for Hyperspectral Imagery (2018) (0)
- Gaussian Information Entropy based band Reduction for Unsupervised Hyperspectral Video Tracking (2022) (0)
- Image sharpening using image sequence and independent component analysis (2004) (0)
- COLLABORATIVE-COMPETITIVE REPRESENTATION WITH SPATIAL REGULARIZATION FOR HYPERSPECTRAL ANOMALY DETECTION (2022) (0)
- Errata: Applying linear spectral unmixing to airborne hyperspectral imagery for mapping yield variability in grain sorghum and cotton fields (2010) (0)
- Restoration of Degraded Video Through Turbulent Atmosphere (2006) (0)
- On the performance of virtual dimensionality estimation for hyperspectral image analysis (2008) (0)
- Fast Kernel Collaborative Representation for Hyperspectral Image Classification (2019) (0)
- Relaxed Collaborative Representation With Low-Rank and Sparse Matrix Decomposition for Hyperspectral Anomaly Detection (2022) (0)
- Precipitation data merging using artificial neural networks (2009) (0)
- Sub-pixel mapping of remotely sensed imagery based on maximum a posteriori estimation and fuzzy ARTMAP neural network (2016) (0)
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What Schools Are Affiliated With Qiang Du?
Qiang Du is affiliated with the following schools:
