Portal Investigación UEx

REVISTA

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

ISSN

0196-2892

EISSN

1558-0644

JCR 2023: 7.5

Mejor cuartil: Q1

SJR 2023: 2.403

Mejor cuartil: Q1

PUBLICACIONES DE LA UEX

3dss-Mamba: 3d-Spectral-Spatial Mamba For Hyperspectral Image Classification (2024)

A Mask Guided Oriented Object Detector Based On Rotated Size-Adaptive Tricube Kernel (2024)

A New Dual-Feature Fusion Network For Enhanced Hyperspectral Unmixing (2024)

An Abundance-Guided Attention Network For Hyperspectral Unmixing (2024)

Cloud-Edge Selective Background Energy Constrained Filter For Real-Time Hyperspectral Target Detection (2024)

Cross Hyperspectral And Lidar Attention Transformer: An Extended Self-Attention For Land Use And Land Cover Classification (2024)

Cross-Modal Hashing With Feature Semi-Interaction And Semantic Ranking For Remote Sensing Ship Image Retrieval (2024)

Daan: A Deep Autoencoder-Based Augmented Network For Blind Multilinear Hyperspectral Unmixing (2024)

Graph Convolutional Network With Relaxed Collaborative Representation For Hyperspectral Image Classification (2024)

Graphgst: Graph Generative Structure-Aware Transformer For Hyperspectral Image Classification (2024)

Hash-Based Remote Sensing Image Retrieval (2024)

Hashing For Retrieving Long-Tailed Distributed Remote Sensing Images (2024)

Hybrid Multiscale Spatial-Spectral Transformer For Hyperspectral Image Classification (2024)

Hyperspectral Image Change Detection Based On Gated Spectral-Spatial-Temporal Attention Network With Spectral Similarity Filtering (2024)

Hyperspectral Image Classification Using Groupwise Separable Convolutional Vision Transformer Network (2024)

Hyperspectral Image Classification Via Multiscale Multiangle Attention Network (2024)

Igroupss-Mamba: Interval Group Spatial-Spectral Mamba For Hyperspectral Image Classification (2024)

Interpretable Networks For Hyperspectral Anomaly Detection: A Deep Unfolding Solution (2024)

Multifrequency Graph Convolutional Network With Cross-Modality Mutual Enhancement For Multisource Remote Sensing Data Classification (2024)

Optimal Transport Under Land Cover Information Constraints: Fusing Heterogeneous Sar Imagery And Social Media Data (2024)

Rgb-To-Hsv: A Frequency-Spectrum Unfolding Network For Spectral Super-Resolution Of Rgb Videos (2024)

Sedanet: A New Siamese Ensemble Difference Attention Network For Building Change Detection In Remotely Sensed Images (2024)

Smcnet: Sparse-Inspired Masked Convolutional Network For Hyperspectral Anomaly Detection (2024)

Sliding Dual-Window-Inspired Reconstruction Network For Hyperspectral Anomaly Detection (2024)

Two Spectral-Spatial Implicit Neural Representations For Arbitrary-Resolution Hyperspectral Pansharpening (2024)

Unified Cloud-Based Framework For Hyperspectral And Multispectral Image Fusion Incorporating Nonlocal Principles And Tensor Decomposition (2024)

Dspg: A New Discriminant Superpixel Graph Regularizer And Convolutional Network For Hyperspectral Image Classification (2024)

A New Context-Aware Framework For Defending Against Adversarial Attacks In Hyperspectral Image Classification (2023)

Aatt-Cnn: Automatic Attention-Based Convolutional Neural Networks For Hyperspectral Image Classification (2023)

Acgt-Net: Adaptive Cuckoo Refinement-Based Graph Transfer Network For Hyperspectral Image Classification (2023)

Bs3lnet: A New Blind-Spot Self-Supervised Learning Network For Hyperspectral Anomaly Detection (2023)

Background-Guided Deformable Convolutional Autoencoder For Hyperspectral Anomaly Detection (2023)

Bocknet: Blind-Block Reconstruction Network With A Guard Window For Hyperspectral Anomaly Detection (2023)

Class-Wise Graph Embedding-Based Active Learning For Hyperspectral Image Classification (2023)

Consistency Center-Based Deep Cross-Modal Hashing For Multisource Remote Sensing Image Retrieval (2023)

Cross-View Object Geo-Localization In A Local Region With Satellite Imagery (2023)

Dynamic Hyperspectral Pansharpening Cnns (2023)

Fast Hyperspectral Image Classification Combining Transformers And Simam-Based Cnns (2023)

Gabor-Modulated Grouped Separable Convolutional Network For Hyperspectral Image Classification (2023)

Hybrid Fully Connected Tensorized Compression Network For Hyperspectral Image Classification (2023)

Local Spectral Similarity-Guided Sparse Unmixing Of Hyperspectral Images With Spatial Graph Regularization (2023)

Multimodal Fusion Transformer For Remote Sensing Image Classification (2023)

Mun-Gan: A Multiscale Unsupervised Network For Remote Sensing Image Pansharpening (2023)

Pdbsnet: Pixel-Shuffle Downsampling Blind-Spot Reconstruction Network For Hyperspectral Anomaly Detection (2023)

Parameter-Free Attention Network For Spectral-Spatial Hyperspectral Image Classification (2023)

Spectral-Spatial Morphological Attention Transformer For Hyperspectral Image Classification (2023)

Spectral-Spatial And Superpixelwise Unsupervised Linear Discriminant Analysis For Feature Extraction And Classification Of Hyperspectral Images (2023)

Vsp-Based Warping For Stitching Many Uav Images (2023)

T-Linear Tensor Subspace Learning For Robust Feature Extraction Of Hyperspectral Images (2023)

Accelerating Convolutional Neural Network-Based Hyperspectral Image Classification By Step Activation Quantization (2022)

Cnn-Based Hyperspectral Pansharpening With Arbitrary Resolution (2022)

Dfllr: Deep Feature Learning With Latent Relationship Embedding For Remote Sensing Image Retrieval (2022)

Drfl-Vat: Deep Representative Feature Learning With Virtual Adversarial Training For Semisupervised Classification Of Hyperspectral Image (2022)

Ds4l: Deep Semisupervised Shared Subspace Learning For Hyperspectral Image Classification (2022)

Disoptnet: Distilling Semantic Knowledge From Optical Images For Weather-Independent Building Segmentation (2022)

Enhanced Spatiotemporal Fusion Via Modis-Like Images (2022)

Ensemble Entropy Metric For Hyperspectral Anomaly Detection (2022)

Fast Orthogonal Projection For Hyperspectral Unmixing (2022)

Generative Adversarial Minority Oversampling For Spectral-Spatial Hyperspectral Image Classification (2022)

Hashing For Localization (Hfl): A Baseline For Fast Localizing Objects In A Large-Scale Scene (2022)

Hyperspectral Anomaly Detection Using The Spectral-Spatial Graph (2022)

Hyperspectral Anomaly Detection With Relaxed Collaborative Representation (2022)

Hyperspectral And Lidar Data Classification Using Joint Cnns And Morphological Feature Learning (2022)

Learning Orientation Information From Frequency-Domain For Oriented Object Detection In Remote Sensing Images (2022)

Lightweight Tensorized Neural Networks For Hyperspectral Image Classification (2022)

Local Semantic Feature Aggregation-Based Transformer For Hyperspectral Image Classification (2022)

Mo-Cnn: Multiobjective Optimization Of Convolutional Neural Networks For Hyperspectral Image Classification (2022)

Moving Ship Optimal Association For Maritime Surveillance: Fusing Ais And Sentinel-2 Data (2022)

Multiple Attention-Guided Capsule Networks For Hyperspectral Image Classification (2022)

Multisource Data Reconstruction-Based Deep Unsupervised Hashing For Unisource Remote Sensing Image Retrieval (2022)

Pseudo Complex-Valued Deformable Convlstm Neural Network With Mutual Attention Learning For Hyperspectral Image Classification (2022)

Revisiting Deep Hyperspectral Feature Extraction Networks Via Gradient Centralized Convolution (2022)

Revisiting Slic: Fast Superpixel Segmentation Of Marine Sar Images Using Density Features (2022)

Rotation-Invariant Deep Embedding For Remote Sensing Images (2022)

Self-Supervised Robust Deep Matrix Factorization For Hyperspectral Unmixing (2022)

Ship Detection In Sar Images By Aggregating Densities Of Fisher Vectors: Extension To A Global Perspective (2022)

Spectral-Spatial Hyperspectral Unmixing Using Nonnegative Matrix Factorization (2022)

Spectralformer: Rethinking Hyperspectral Image Classification With Transformers (2022)

Superpixel-Based Collaborative And Low-Rank Regularization For Sparse Hyperspectral Unmixing (2022)

Variable Subpixel Convolution Based Arbitrary-Resolution Hyperspectral Pansharpening (2022)

Deep Autoencoders With Multitask Learning For Bilinear Hyperspectral Unmixing (2021)

Deep Unsupervised Embedding For Remotely Sensed Images Based On Spatially Augmented Momentum Contrast (2021)

Flop-Reduction Through Memory Allocations Within Cnn For Hyperspectral Image Classification (2021)

Geographic Optimal Transport For Heterogeneous Data: Fusing Remote Sensing And Social Media (2021)

Ghostnet For Hyperspectral Image Classification (2021)

Graph Convolutional Networks For Hyperspectral Image Classification (2021)

Graph Relation Network: Modeling Relations Between Scenes For Multilabel Remote-Sensing Image Classification And Retrieval (2021)

Robust Normalized Softmax Loss For Deep Metric Learning-Based Characterization Of Remote Sensing Images With Label Noise (2021)

Ship Detection In Sar Images Via Enhanced Nonnegative Sparse Locality-Representation Of Fisher Vectors (2021)

A Single Model Cnn For Hyperspectral Image Denoising (2020)

Deep Metric Learning Based On Scalable Neighborhood Components For Remote Sensing Scene Characterization (2020)

Flop-Reduction Through Memory Allocations Within Cnn For Hyperspectral Image Classification (2020)

Generalized Morphological Component Analysis For Hyperspectral Unmixing (2020)

Hashing Nets For Hashing: A Quantized Deep Learning To Hash Framework For Remote Sensing Image Retrieval (2020)

Hyperspectral Anomaly Detection Using Dual Window Density (2020)

Hyperspectral Classification With Noisy Label Detection Via Superpixel-To-Pixel Weighting Distance (2020)

Neural Ordinary Differential Equations For Hyperspectral Image Classification (2020)

Simultaneously Counting And Extracting Endmembers In A Hyperspectral Image Based On Divergent Subsets (2020)

An Efficient And Scalable Framework For Processing Remotely Sensed Big Data In Cloud Computing Environments (2019)

Capsule Networks For Hyperspectral Image Classification (2019)

Cloud Deep Networks For Hyperspectral Image Analysis (2019)

Daen: Deep Autoencoder Networks For Hyperspectral Unmixing (2019)

Deep Pyramidal Residual Networks For Spectral-Spatial Hyperspectral Image Classification (2019)

Feature Extraction With Multiscale Covariance Maps For Hyperspectral Image Classification (2019)

Portability Study Of An Opencl Algorithm For Automatic Target Detection In Hyperspectral Images (2019)

Remote Sensing Image Superresolution Using Deep Residual Channel Attention (2019)

Scale-Free Convolutional Neural Network For Remote Sensing Scene Classification (2019)

Subpixel Component Analysis For Hyperspectral Image Classification (2019)

Visual Attention-Driven Hyperspectral Image Classification (2019)

A New Spatial-Spectral Feature Extraction Method For Hyperspectral Images Using Local Covariance Matrix Representation (2018)

A New Deep Generative Network For Unsupervised Remote Sensing Single-Image Super-Resolution (2018)

A New Spectral-Spatial Sub-Pixel Mapping Model For Remotely Sensed Hyperspectral Imagery (2018)

Active Learning With Convolutional Neural Networks For Hyperspectral Image Classification Using A New Bayesian Approach (2018)

Convex Formulation For Multiband Image Classification With Superpixel-Based Spatial Regularization (2018)

Estimating Nonlinearities In P-Linear Hyperspectral Mixtures (2018)

Hyperspectral Unmixing Using Sparsity-Constrained Deep Nonnegative Matrix Factorization With Total Variation (2018)

Hyperspectral Unmixing Based On Dual-Depth Sparse Probabilistic Latent Semantic Analysis (2018)

Remote Sensing Scene Classification Using Multilayer Stacked Covariance Pooling (2018)

Spatial Discontinuity-Weighted Sparse Unmixing Of Hyperspectral Images (2018)

Spectral-Spatial Weighted Sparse Regression For Hyperspectral Image Unmixing (2018)

A Novel Preunmixing Framework For Efficient Detection Of Linear Mixtures In Hyperspectral Images (2017)

Discriminative Low-Rank Gabor Filtering For Spectral-Spatial Hyperspectral Image Classification (2017)

Fusion Of Hyperspectral And Lidar Data Using Sparse And Low-Rank Component Analysis (2017)

Multisensor Coupled Spectral Unmixing For Time-Series Analysis (2017)

Structured Sparse Coding-Based Hyperspectral Imagery Denoising With Intracluster Filtering (2017)

Anomaly Detection In Hyperspectral Images Based On Low-Rank And Sparse Representation (2016)

Cloud Removal Based On Sparse Representation Via Multitemporal Dictionary Learning (2016)

Detection And Labeling Of Sensitive Areas In Hydrological Cartography Using Vector Statistics (2016)

Multiple Morphological Component Analysis Based Decomposition For Remote Sensing Image Classification (2016)

Probabilistic-Kernel Collaborative Representation For Spatial-Spectral Hyperspectral Image Classification (2016)

Remote Sensing Image Classification Using Attribute Filters Defined Over The Tree Of Shapes (2016)

Robust Collaborative Nonnegative Matrix Factorization For Hyperspectral Unmixing (2016)

Support Tensor Machines For Classification Of Hyperspectral Remote Sensing Imagery (2016)

Thin Cloud Removal Based On Signal Transmission Principles And Spectral Mixture Analysis (2016)

A Novel Negative Abundance-Oriented Hyperspectral Unmixing Algorithm (2015)

Complementarity Of Discriminative Classifiers And Spectral Unmixing Techniques For The Interpretation Of Hyperspectral Images (2015)

Hyca: A New Technique For Hyperspectral Compressive Sensing (2015)

Minimum Volume Simplex Analysis: A Fast Algorithm For Linear Hyperspectral Unmixing (2015)

Multiple Feature Learning For Hyperspectral Image Classification (2015)

Collaborative Sparse Regression For Hyperspectral Unmixing (2014)

Music-Csr: Hyperspectral Unmixing Via Multiple Signal Classification And Collaborative Sparse Regression (2014)

New Postprocessing Methods For Remote Sensing Image Classification: A Systematic Study (2014)

Remotely Sensed Image Classification Using Sparse Representations Of Morphological Attribute Profiles (2014)

Spectral-Spatial Classification Of Hyperspectral Data Using Local And Global Probabilities For Mixed Pixel Characterization (2014)

Editorial (2013)

Generalized Composite Kernel Framework For Hyperspectral Image Classification (2013)

Semisupervised Self-Learning For Hyperspectral Image Classification (2013)

Spectral-Spatial Classification Of Hyperspectral Data Using Loopy Belief Propagation And Active Learning (2013)

A New Minimum-Volume Enclosing Algorithm For Endmember Identification And Abundance Estimation In Hyperspectral Data (2012)

Estimating The Uncertainty Of Terrestrial Laser Scanner Measurements (2012)

Fpga Implementation Of The N-Findr Algorithm For Remotely Sensed Hyperspectral Image Analysis (2012)

Spectral-Spatial Hyperspectral Image Segmentation Using Subspace Multinomial Logistic Regression And Markov Random Fields (2012)

Total Variation Spatial Regularization For Sparse Hyperspectral Unmixing (2012)

Foreword To The Special Issue On Spectral Unmixing Of Remotely Sensed Data (2011)

Hyperspectral Image Segmentation Using A New Bayesian Approach With Active Learning (2011)

Sparse Unmixing Of Hyperspectral Data (2011)

Semisupervised Hyperspectral Image Segmentation Using Multinomial Logistic Regression With Active Learning (2010)

The Empirically Corrected Ep-Toms Total Ozone Data Against Brewer Measurements At El Arenosillo (Southwestern Spain) (2010)

Spatial Preprocessing For Endmember Extraction (2009)

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