Pedram Ghamisi
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Engineering
Pedram Ghamisi's Degrees
- PhD Electrical Engineering University of Tehran
- Masters Electrical Engineering University of Tehran
- Bachelors Electrical Engineering University of Tehran
Why Is Pedram Ghamisi Influential?
(Suggest an Edit or Addition)Pedram Ghamisi'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
- Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks (2016) (1694)
- Deep Recurrent Neural Networks for Hyperspectral Image Classification (2017) (724)
- Deep Learning for Hyperspectral Image Classification: An Overview (2019) (602)
- Cascaded Recurrent Neural Networks for Hyperspectral Image Classification (2017) (462)
- Advanced Spectral Classifiers for Hyperspectral Images: A review (2017) (408)
- Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art (2017) (398)
- Generative Adversarial Networks for Hyperspectral Image Classification (2018) (376)
- Feature Selection Based on Hybridization of Genetic Algorithm and Particle Swarm Optimization (2015) (371)
- COVID-19 Outbreak Prediction with Machine Learning (2020) (321)
- A Survey on Spectral–Spatial Classification Techniques Based on Attribute Profiles (2015) (316)
- An efficient method for segmentation of images based on fractional calculus and natural selection (2012) (288)
- Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox (2020) (268)
- Multilevel Image Segmentation Based on Fractional-Order Darwinian Particle Swarm Optimization (2014) (244)
- COVID-19 Pandemic Prediction for Hungary; a Hybrid Machine Learning Approach (2020) (213)
- Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art (2018) (206)
- Unsupervised Spectral–Spatial Feature Learning via Deep Residual Conv–Deconv Network for Hyperspectral Image Classification (2018) (201)
- Noise Reduction in Hyperspectral Imagery: Overview and Application (2018) (178)
- New Frontiers in Spectral-Spatial Hyperspectral Image Classification: The Latest Advances Based on Mathematical Morphology, Markov Random Fields, Segmentation, Sparse Representation, and Deep Learning (2018) (173)
- Hyperspectral Images Classification With Gabor Filtering and Convolutional Neural Network (2017) (164)
- Spectral–Spatial Classification of Hyperspectral Images Based on Hidden Markov Random Fields (2014) (159)
- Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification (2019) (158)
- Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review (2020) (143)
- Hyperspectral and LiDAR Data Fusion Using Extinction Profiles and Deep Convolutional Neural Network (2017) (137)
- Deformable Convolutional Neural Networks for Hyperspectral Image Classification (2018) (131)
- A Self-Improving Convolution Neural Network for the Classification of Hyperspectral Data (2016) (124)
- Extinction Profiles for the Classification of Remote Sensing Data (2016) (121)
- Automatic Spectral–Spatial Classification Framework Based on Attribute Profiles and Supervised Feature Extraction (2014) (118)
- Deep Fusion of Remote Sensing Data for Accurate Classification (2017) (115)
- Automatic Framework for Spectral–Spatial Classification Based on Supervised Feature Extraction and Morphological Attribute Profiles (2014) (114)
- Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification (2019) (112)
- Classification of Hyperspectral and LiDAR Data Using Coupled CNNs (2020) (105)
- Random Forest Ensembles and Extended Multiextinction Profiles for Hyperspectral Image Classification (2018) (102)
- A Novel Feature Selection Approach Based on FODPSO and SVM (2015) (102)
- Hyperspectral Image Classification With Attention-Aided CNNs (2020) (101)
- Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest (2018) (94)
- Extinction Profiles Fusion for Hyperspectral Images Classification (2018) (91)
- Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics (2020) (89)
- Hyperspectral and LiDAR Fusion Using Extinction Profiles and Total Variation Component Analysis (2017) (86)
- Deep Learning Ensemble for Hyperspectral Image Classification (2019) (81)
- IMG2DSM: Height Simulation From Single Imagery Using Conditional Generative Adversarial Net (2018) (80)
- Spatial hazard assessment of the PM10 using machine learning models in Barcelona, Spain. (2019) (80)
- Fusion of Hyperspectral and LiDAR Data Using Sparse and Low-Rank Component Analysis (2017) (77)
- Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources (2020) (71)
- Heterogeneous Transfer Learning for Hyperspectral Image Classification Based on Convolutional Neural Network (2020) (70)
- Deep Convolutional Capsule Network for Hyperspectral Image Spectral and Spectral-Spatial Classification (2019) (70)
- Earth fissure hazard prediction using machine learning models. (2019) (69)
- Integration of Segmentation Techniques for Classification of Hyperspectral Images (2014) (66)
- Fusion of Multiple Edge-Preserving Operations for Hyperspectral Image Classification (2019) (64)
- Classification of Hyperspectral Images via Multitask Generative Adversarial Networks (2021) (63)
- Hyperspectral Data Classification Using Extended Extinction Profiles (2016) (62)
- Hyperspectral Image Classification With Squeeze Multibias Network (2019) (60)
- Feature Extraction and Selection of Sentinel-1 Dual-Pol Data for Global-Scale Local Climate Zone Classification (2018) (58)
- Noise-Robust Hyperspectral Image Classification via Multi-Scale Total Variation (2019) (58)
- Data science in economics: comprehensive review of advanced machine learning and deep learning methods (2020) (57)
- Land-cover classification using both hyperspectral and LiDAR data (2015) (55)
- Fractional Order Darwinian Particle Swarm Optimization (2016) (53)
- Feature Importance Analysis for Local Climate Zone Classification Using a Residual Convolutional Neural Network with Multi-Source Datasets (2018) (51)
- A Machine Learning Framework for Drill-Core Mineral Mapping Using Hyperspectral and High-Resolution Mineralogical Data Fusion (2019) (50)
- Deep point embedding for urban classification using ALS point clouds: A new perspective from local to global (2020) (49)
- Automatic Hyperspectral Image Restoration Using Sparse and Low-Rank Modeling (2017) (48)
- Hyperspectral and LiDAR Fusion Using Deep Three-Stream Convolutional Neural Networks (2018) (48)
- A comprehensive transferability evaluation of U-Net and ResU-Net for landslide detection from Sentinel-2 data (case study areas from Taiwan, China, and Japan) (2021) (47)
- Deep Metric Learning Based on Scalable Neighborhood Components for Remote Sensing Scene Characterization (2020) (46)
- Fusion of Dual Spatial Information for Hyperspectral Image Classification (2020) (45)
- Multiple convolutional layers fusion framework for hyperspectral image classification (2019) (38)
- Landslide detection using deep learning and object-based image analysis (2022) (38)
- Use of Darwinian Particle Swarm Optimization technique for the segmentation of Remote Sensing images (2012) (37)
- Classification of hyperspectral images with binary fractional order Darwinian PSO and random forests (2013) (36)
- Self-Supervised Learning With Adaptive Distillation for Hyperspectral Image Classification (2021) (36)
- Remote sensing image classification using subspace sensor fusion (2020) (35)
- LiDAR Data Classification Using Extinction Profiles and a Composite Kernel Support Vector Machine (2017) (35)
- MsRi-CCF: Multi-Scale and Rotation-Insensitive Convolutional Channel Features for Geospatial Object Detection (2018) (33)
- Texture-aware total variation-based removal of sun glint in hyperspectral images (2020) (33)
- A Novel Evolutionary Swarm Fuzzy Clustering Approach for Hyperspectral Imagery (2015) (32)
- Fractional Order Darwinian Particle Swarm Optimization: Applications and Evaluation of an Evolutionary Algorithm (2015) (31)
- Spatial Analysis of Seasonal Precipitation over Iran: Co-Variation with Climate Indices (2020) (30)
- Image Restoration for Remote Sensing: Overview and toolbox (2021) (28)
- Multiscale Densely-Connected Fusion Networks for Hyperspectral Images Classification (2021) (28)
- Frontiers in Spectral-Spatial Classification of Hyperspectral Images (2018) (28)
- Support Vector Machine vs. Random Forest for Remote Sensing Image Classification: A Meta-analysis and systematic review (2020) (27)
- Fractional-Order Darwinian PSO (2016) (26)
- UnDIP: Hyperspectral Unmixing Using Deep Image Prior (2021) (26)
- Classification of hyperspectral and LIDAR data using extinction profiles with feature fusion (2017) (26)
- Multichannel Pulse-Coupled Neural Network-Based Hyperspectral Image Visualization (2020) (26)
- Hyperspectral Mixed Gaussian and Sparse Noise Reduction (2020) (26)
- LiDAR Data Classification Using Spatial Transformation and CNN (2019) (23)
- Multimodal, multitemporal, and multisource global data fusion for local climate zones classification based on ensemble learning (2017) (23)
- Multi-Sensor Spectral Imaging of Geological Samples: A Data Fusion Approach Using Spatio-Spectral Feature Extraction (2019) (23)
- LiDAR Data Classification Using Morphological Profiles and Convolutional Neural Networks (2018) (21)
- Spectral and Spatial Classification of Hyperspectral Data (2015) (21)
- Assessing the performance of multiple spectral–spatial features of a hyperspectral image for classification of urban land cover classes using support vector machines and artificial neural network (2017) (21)
- Deep fusion of hyperspectral and LiDAR data for thematic classification (2016) (20)
- Multispectral Change Detection With Bilinear Convolutional Neural Networks (2020) (20)
- Hyperspectral Image Classification with Multi-Scale Feature Extraction (2019) (20)
- 2020 IEEE GRSS Data Fusion Contest: Global Land Cover Mapping With Weak Supervision [Technical Committees] (2020) (20)
- Hyperspectral data clustering based on density analysis ensemble (2017) (19)
- Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest (2021) (19)
- The spectral-spatial classification of hyperspectral images based on Hidden Markov Random Field and its Expectation-Maximization (2013) (18)
- Extending the fractional order Darwinian particle swarm optimization to segmentation of hyperspectral images (2012) (17)
- Fully conv-deconv network for unsupervised spectral-spatial feature extraction of hyperspectral imagery via residual learning (2017) (17)
- Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark (2022) (16)
- Dual Graph Convolutional Network for Hyperspectral Image Classification With Limited Training Samples (2021) (16)
- Deep Learning and Earth Observation to Support the Sustainable Development Goals: Current approaches, open challenges, and future opportunities (2022) (16)
- Advanced Supervised Spectral Classifiers for Hyperspectral Images : A Review (2016) (16)
- Fusion of hyperspectral and LiDAR data in classification of urban areas (2014) (16)
- A Google Earth Engine Approach for Wildfire Susceptibility Prediction Fusion with Remote Sensing Data of Different Spatial Resolutions (2022) (16)
- Unsupervised Deep Learning for Landslide Detection from Multispectral Sentinel-2 Imagery (2021) (15)
- Hyperspectral Feature Extraction Using Sparse and Smooth Low-Rank Analysis (2019) (15)
- Fusion of Heterogeneous Earth Observation Data for the Classification of Local Climate Zones (2019) (15)
- Feature extraction for hyperspectral mineral domain mapping: A test of conventional and innovative methods (2021) (15)
- CDCEO'21 - First Workshop on Complex Data Challenges in Earth Observation (2021) (13)
- Particle Swarm Optimization (2016) (12)
- Hyperspectral outcrop models for palaeoseismic studies (2019) (12)
- Transferring CNN With Adaptive Learning for Remote Sensing Scene Classification (2022) (11)
- Object based fusion of polarimetric SAR and hyperspectral imaging for land use classification (2016) (11)
- The application of ResU-net and OBIA for landslide detection from multi-temporal sentinel-2 images (2022) (11)
- The Outcome of the 2021 IEEE GRSS Data Fusion Contest—Track MSD: Multitemporal Semantic Change Detection (2022) (11)
- Hierarchical Sparse Subspace Clustering (HESSC): An Automatic Approach for Hyperspectral Image Analysis (2020) (11)
- Using the SLEUTH urban growth model to simulate the impacts of future policy scenarios on urban land use in the Tehran metropolitan area in Iran (2017) (10)
- 2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good [Technical Committees] (2021) (10)
- Feature Importance Analysis of Sentinel-2 Imagery for Large-Scale Urban Local Climate Zone Classification (2018) (10)
- Multisensor Composite Kernels Based on Extreme Learning Machines (2019) (10)
- EFFECT OF THE TRAINING SET CONFIGURATION ON SENTINEL-2-BASED URBAN LOCAL CLIMATE ZONE CLASSIFICATION (2018) (10)
- Asymmetric Hash Code Learning for Remote Sensing Image Retrieval (2022) (10)
- Modality Translation in Remote Sensing Time Series (2022) (10)
- Component Decomposition-Based Hyperspectral Resolution Enhancement for Mineral Mapping (2020) (9)
- Land-cover monitoring using time-series hyperspectral data via fractional-order darwinian particle swarm optimization segmentation (2016) (9)
- Adaptive Spatial Pyramid Constraint for Hyperspectral Image Classification With Limited Training Samples (2021) (9)
- How Hyperspectral Image Unmixing and Denoising Can Boost Each Other (2020) (8)
- An Efficient Deep Unsupervised Superresolution Model for Remote Sensing Images (2020) (8)
- A Novel Adaptive Compression Technique for Dealing with Corrupt Bands and High Levels of Band Correlations in Hyperspectral Images Based on Binary Hybrid GA-PSO for Big Data Compression (2015) (8)
- Large-Scale Hyperspectral Image Clustering Using Contrastive Learning (2021) (8)
- Remote Sensing Image Scene Classification via Label Augmentation and Intra-Class Constraint (2021) (8)
- Radiometric Normalization of Multitemporal and Multisensor Remote Sensing Images Based on a Gaussian Mixture Model and Error Ellipse (2018) (8)
- A Novel Method for Segmentation of Remote Sensing Images based on Hybrid GA-PSO (2011) (7)
- High-Rankness Regularized Semi-Supervised Deep Metric Learning for Remote Sensing Imagery (2020) (7)
- Evaluation of Different Landslide Susceptibility Models for a Local Scale in the Chitral District, Northern Pakistan (2022) (7)
- A Multi-Sensor Fusion Framework Based on Coupled Residual Convolutional Neural Networks (2020) (7)
- Subspace Multinomial Logistic Regression Ensemble for Classification of Hyperspectral Images (2018) (6)
- A Machine Learning Technique for Drill Core Hyperspectral Data Analysis (2018) (6)
- Object Detection Routine for Material Streams Combining RGB and Hyperspectral Reflectance Data Based on Guided Object Localization (2020) (6)
- The Need for Multi-Source, Multi-Scale Hyperspectral Imaging to Boost Non-Invasive Mineral Exploration (2018) (6)
- Optical Remote Sensing Image Understanding With Weak Supervision: Concepts, methods, and perspectives (2022) (6)
- The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection From Multisource Satellite Imagery (2022) (6)
- Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes With Point-Level Annotations (2022) (6)
- Corrections to "Deep Recurrent Neural Networks for Hyperspectral Image Classification" (2018) (6)
- Leveraging OpenStreetMap and Multimodal Remote Sensing Data with Joint Deep Learning for Wastewater Treatment Plants Detection (2022) (6)
- Advanced Spectral Classifiers for Hyperspectral Images (6)
- The Potential of Machine Learning for a More Responsible Sourcing of Critical Raw Materials (2021) (6)
- Binary Hybrid GA-PSO based algorithm for compression of hyperspectral data (2011) (5)
- Multiple composite kernel learning for hyperspectral image classification (2017) (5)
- Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks (2022) (5)
- Report on the 2020 IEEE GRSS Data Fusion Contest-Global Land Cover Mapping With Weak Supervision [Technical Committees] (2020) (5)
- Data Science in Economics (2020) (5)
- A Novel Real Time Algorithm for Remote Sensing Lossless Data Compression based on Enhanced DPCM (2011) (5)
- Multilevel Structure Extraction-Based Multi-Sensor Data Fusion (2020) (4)
- NFANet: A Novel Method for Weakly Supervised Water Extraction from High-Resolution Remote Sensing Imagery (2022) (4)
- FODSPO based feature selection for hyperspectral remote sensing data (2014) (4)
- Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images (2022) (4)
- Unsupervised Data Fusion With Deeper Perspective: A Novel Multisensor Deep Clustering Algorithm (2022) (4)
- Complementary Learning-Based Scene Classification of Remote Sensing Images With Noisy Labels (2021) (3)
- Gaussian mixture model and Markov random fields for hyperspectral image classification (2018) (3)
- EOD: The IEEE GRSS Earth Observation Database (2022) (3)
- A new method for compression of remote sensing images based on an enhanced differential pulse code modulation transformation (2013) (3)
- Hyperspectral images classification by fusing extinction profiles feature (2017) (3)
- Spectral-spatial classification based on integrated segmentation (2013) (3)
- Hyde: The First Open-Source, Python-Based, Gpu-Accelerated Hyperspectral Denoising Package (2022) (3)
- Sketched Multiview Subspace Learning for Hyperspectral Anomalous Change Detection (2022) (3)
- Simple and efficient remote sensing image transformation for lossless compression (2011) (3)
- HyperViTGAN: Semisupervised Generative Adversarial Network With Transformer for Hyperspectral Image Classification (2022) (3)
- LW-ODF: A Light-Weight Object Detection Framework for Optical Remote Sensing Imagery (2019) (3)
- Fusion of Multispectral LiDAR and Hyperspectral Imagery (2020) (3)
- Mixed Noise Reduction in Hyperspectral Imagery (2019) (3)
- Data Fusion Using a Multi-Sensor Sparse-Based Clustering Algorithm (2020) (3)
- Edge-Preserving Filtering-Based Dehazing for Remote Sensing Images (2022) (2)
- Task-Guided Denoising Network for Adversarial Defense of Remote Sensing Scene Classification (2022) (2)
- Sparsity Regularized Deep Subspace Clustering for Multicriterion-Based Hyperspectral Band Selection (2022) (2)
- The Outcome of the 2021 IEEE GRSS Data Fusion Contest - Track DSE: Detection of Settlements Without Electricity (2021) (2)
- An Integrated Multi-Sensor System for the In-Line Monitoring of Material Streams (2019) (2)
- AI Security for Geoscience and Remote Sensing: Challenges and Future Trends (2022) (2)
- An advanced classifier for the joint use of LiDAR and hyperspectral data: Case study in Queensland, Australia (2015) (2)
- A Deep Feature Retrieved Network for Bitemporal Remote Sensing Image Change Detection (2022) (2)
- Multiple Optical Sensor Fusion for Mineral Mapping of Core Samples (2020) (2)
- Mixed Noise Removal for Hyperspectral Image With ${l_{0}}$-${l_{1 - 2}}$SSTV Regularization (2022) (2)
- Integration of LiDAR and Hyperspectral Data for Land-cover Classification: A Case Study (2017) (2)
- Nonnegative-Constrained Joint Collaborative Representation With Union Dictionary for Hyperspectral Anomaly Detection (2022) (2)
- Deep Learning and Earth Observation to Support the Sustainable Development Goals (2021) (2)
- Multi-Source and multi-Scale Imaging-Data Integration to boost Mineral Mapping (2019) (2)
- Case Study III: Swarm Robotics (2016) (2)
- Intrinsic Image Decomposition-Based Resolution Enhancement for Mineral Mapping (2020) (2)
- Semisupervised Hyperspectral Image Classification Using a Probabilistic Pseudo-Label Generation Framework (2022) (2)
- Feature selection of hyperspectral data by considering the integration of Genetic Algorithms and Particle Swarm Optimization (2014) (2)
- Sun Glint Removal of Hyperspectral Images via Texture-Aware Total Variation (2020) (2)
- Mineral Mapping of Drill Core Hyperspectral Data with Extreme Learning Machines (2019) (2)
- Deep Semantic Segmentation of Trees Using Multispectral Images (2022) (2)
- A Special Issue on Recent Progress in Developing Artificial Intelligence and Machine Learning Methodologies [From the Guest Editors] (2021) (2)
- Time Series of Remote Sensing Data for Interaction Analysis of the Vegetation Coverage and Dust Activity in the Middle East (2022) (2)
- Sparse and Smooth Feature Extraction for Hyperspectral Imagery (2018) (1)
- A Novel Composite Kernel Approach for Multisensor Remote Sensing Data Fusion (2019) (1)
- Hyperspectral Remote Sensing Benchmark Database for Oil Spill Detection with an Isolation Forest-Guided Unsupervised Detector (2022) (1)
- Learning crop type mapping from regional label proportions in large-scale SAR and optical imagery (2022) (1)
- Extended extinction profile for the classification of hyperspectral images (2016) (1)
- Towards 4D Virtual Outcrops with Hyperspectral Imaging (2020) (1)
- Backdoor Attacks for Remote Sensing Data with Wavelet Transform (2022) (1)
- Normal Assisted Pixel-Visibility Learning With Cost Aggregation for Multiview Stereo (2022) (1)
- Deep Bilateral Filtering Network for Point-Supervised Semantic Segmentation in Remote Sensing Images (2022) (1)
- A NEW SPECTRAL-SPATIAL SUBSPACE CLUSTERING ALGORITHM FOR HYPERSPECTRAL IMAGE ANALYSIS (2020) (1)
- Extinction profiles: A novel approach for the analysis of remote sensing data (2016) (1)
- Hypergraph Convolutional Subspace Clustering With Multihop Aggregation for Hyperspectral Image (2022) (1)
- Rapid Mapping of Landslides from Sentinel-2 Data Using Unsupervised Deep Learning (2022) (1)
- Remote Sensing and Deep Learning for Sustainable Mining (2020) (1)
- Region-Growing Fully Convolutional Networks for Hyperspectral Image Classification with Point-Level Supervision (2021) (1)
- Local Window Attention Transformer for Polarimetric SAR Image Classification (2023) (1)
- Spectral Unmixing Using Deep Convolutional Encoder-Decoder (2021) (1)
- Hyperspectral Denoising: From Conventional Techniques Towards Deep Learning Ones (2021) (0)
- BDD-Net+: A Building Damage Detection Framework Based on Modified Coat-Net (2023) (0)
- VHR Very High Resolution MRF Markov Random Field SE Structuring Element MP Morphology Profile EMP Extended Morphology Profile DMP Differential Morphology Profile AF Attribute Filter AP Attribute Profile MAP Multivariate Attribute Profile EAP Extended Attribute Profile EMAP Extended Multivariate Attr (2014) (0)
- Context Enhancing Representation for Semantic Segmentation in Remote Sensing Images. (2022) (0)
- Hyperspectral Clustering Using Atrous Spatial-Spectral Convolutional Network (2022) (0)
- Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks (2023) (0)
- Mapping Dwellings in IDP/Refugee Settlements Using Deep Learning (2022) (0)
- Hyperspectral Unmixing Using Convolutional Autoencoder For Metal Detection In Lithium-Ion Battery Recycling Applications (2022) (0)
- Contour Structural Profiles: An Edge-Aware Feature Extractor for Hyperspectral Image Classification (2022) (0)
- A novel adaptive compression method for hyperspectral images by using EDT and particle swarm optimization (2012) (0)
- Unsupervised annual change detection from optical-SAR fused satellite image time-series using 3D-CAE (2023) (0)
- Case Study I: Curve Fitting (2016) (0)
- Hyperspectral Anomaly Detection based on Low-rank Structure Exploration (2021) (0)
- Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering (2021) (0)
- Case Study II: Image Segmentation (2016) (0)
- Changes to Captions: An Attentive Network for Remote Sensing Change Captioning (2023) (0)
- COVID-19 Pandemic Prediction for Hungary; a Hybrid Machine Learning Approach — Source link (0)
- OptFus: Optical Sensor Fusion for the Classification of Multisource Data: Application to Mineralogical Mapping (2022) (0)
- Data for: Fusion of Dual Spatial Information for Hyperspectral Image Classification (2020) (0)
- Boosting Hyperspectral Image Unmixing Using Denoising: Four Scenarios (2021) (0)
- Evaluation of polsar similarity measures with spectral clustering (2017) (0)
- Earth fissure hazard modeling using machine learning models (2019) (0)
- Unsupervised Deep Hyperspectral Inpainting Using a New Mixing Model (2022) (0)
- Supervised Contrastive Learning-Based Classification for Hyperspectral Image (2022) (0)
- When is the Right Time to Apply Denoising? (2021) (0)
- Weak-Supervision Based on Label Proportions for Earth Observation Applications from Optical and Hyperspectral Imagery (2022) (0)
- Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification (2023) (0)
- Unpaired remote sensing image super-resolution with content-preserving weak supervision neural network (2022) (0)
- Mixed Noise Removal for Hyperspectral Image With <inline-formula><tex-math notation="LaTeX">${l_{0}}$</tex-math></inline-formula>-<inline-formula><tex-math notation="LaTeX">${l_{1 - 2}}$</tex-math></inline-formula>SSTV Regularization (2022) (0)
- A Multi-Sensor Subspace-Based Clustering Algorithm Using RGB and Hyperspectral Data (2021) (0)
- Data for: Remote Sensing Image Classification Using Subspace Sensor Fusion (2020) (0)
- The New Working Groups of the GRSS Technical Committee on Image Analysis and Data Fusion [Technical Committees] (2021) (0)
- Feature fusion of hyperspectral and lidar data using extinction profiles and total variation (2017) (0)
- Multisensor Feature Fusion Using Low-Rank Modeling and Component Analysis (2019) (0)
- MS$^{2}$A-Net: Multiscale Spectral–Spatial Association Network for Hyperspectral Image Clustering (2022) (0)
- Report on the 2021 IEEE GRSS Data Fusion Contest—Geospatial Artificial Intelligence for Social Good [Technical Committees] (2021) (0)
- Explainable Artificial Intelligence (XAI) Model for Earthquake Spatial Probability Assessment in Arabian Peninsula (2023) (0)
- The Landslide4Sense Competition 2022 (2022) (0)
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What Schools Are Affiliated With Pedram Ghamisi?
Pedram Ghamisi is affiliated with the following schools:
