PUBLICACIÓN

Condensed and Discriminative Feature Encoding for Remote Sensing Image Retrieval

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ACCEDER A LA PUBLICACIÓN: Scopus Orcid Catalogo Bibliotecas UEx

Han L.; Ge Y.; Paoletti M.E.; Moreno-Alvarez S.; Xu Y.; Haut J.M.

2026 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

CITAS

0

DOI

10.1109/jstars.2026.3707402

EID

2-s2.0-105043467881

ISSN

1939-1404

EISSN

2151-1535

AUTORES DE LA UEX

Mercedes Eugenia Paoletti Ávila
Juan Mario Haut Hurtado

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Condensed And Discriminative Feature Encoding For Remote Sensing Image Retrieval
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Heterogeneous Model Parallelism For Deep Neural Networks
A Recommendation System For Electronic Health Records In The Context Of The Hope Project
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Adapting Kernels For Hyperspectral Image Classification
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Adapting Kernels For Hyperspectral Image Classification
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Adapting Kernels For Hyperspectral Image Classification
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Sicodef² Net: Siamese Convolution Deconvolution Feature Fusion Network For One-Shot Classification
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Analysis Of Remotely Sensed Images Through Social Media
Sicodef² Net: Siamese Convolution Deconvolution Feature Fusion Network For One-Shot Classification
Analysis Of Remotely Sensed Images Through Social Media
On The Evaluation Of Machine Learning Algorithms For Hyperspectral Image Classification On A Heterogeneous Computing Device
Analysis Of Remotely Sensed Images Through Social Media
On The Evaluation Of Machine Learning Algorithms For Hyperspectral Image Classification On A Heterogeneous Computing Device
Studying The Students' Learning In Lot@uned
On The Evaluation Of Machine Learning Algorithms For Hyperspectral Image Classification On A Heterogeneous Computing Device
Studying The Students' Learning In Lot@uned
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Analyzing The Users’ Acceptance Of An Iot Cloud Platform Using The Utaut/tam Model
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A Tool To Assess The Communication Cost Of Parallel Kernels On Heterogeneous Platforms
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Cloud Implementation Of Multinomial Logistic Regression For Uav Hyperspectral Images
A Tool To Assess The Communication Cost Of Parallel Kernels On Heterogeneous Platforms
Cloud Implementation Of Multinomial Logistic Regression For Uav Hyperspectral Images
Performance Evaluation Of Model-Driven Partitioning Algorithms For Data-Parallel Kernels On Heterogeneous Platforms
Cloud Implementation Of Multinomial Logistic Regression For Uav Hyperspectral Images
Performance Evaluation Of Model-Driven Partitioning Algorithms For Data-Parallel Kernels On Heterogeneous Platforms
Training Deep Neural Networks: A Static Load Balancing Approach
Performance Evaluation Of Model-Driven Partitioning Algorithms For Data-Parallel Kernels On Heterogeneous Platforms
Training Deep Neural Networks: A Static Load Balancing Approach
Scalable Recurrent Neural Network For Hyperspectral Image Classification
Training Deep Neural Networks: A Static Load Balancing Approach
Scalable Recurrent Neural Network For Hyperspectral Image Classification
Training Capsnets Via Active Learning For Hyperspectral Image Classification
Scalable Recurrent Neural Network For Hyperspectral Image Classification
Training Capsnets Via Active Learning For Hyperspectral Image Classification
Neighboring Region Dropout For Hyperspectral Image Classification
Training Capsnets Via Active Learning For Hyperspectral Image Classification
Neighboring Region Dropout For Hyperspectral Image Classification
A New Gpu Implementation Of Support Vector Machines For Fast Hyperspectral Image Classification
Neighboring Region Dropout For Hyperspectral Image Classification
A New Gpu Implementation Of Support Vector Machines For Fast Hyperspectral Image Classification
A Single Model Cnn For Hyperspectral Image Denoising
A New Gpu Implementation Of Support Vector Machines For Fast Hyperspectral Image Classification
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Neural Ordinary Differential Equations For Hyperspectral Image Classification
A Single Model Cnn For Hyperspectral Image Denoising
Neural Ordinary Differential Equations For Hyperspectral Image Classification
Inference In Supervised Spectral Classifiers For On-Board Hyperspectral Imaging: An Overview
Neural Ordinary Differential Equations For Hyperspectral Image Classification
Inference In Supervised Spectral Classifiers For On-Board Hyperspectral Imaging: An Overview
Rotation Equivariant Convolutional Neural Networks For Hyperspectral Image Classification
Inference In Supervised Spectral Classifiers For On-Board Hyperspectral Imaging: An Overview
Rotation Equivariant Convolutional Neural Networks For Hyperspectral Image Classification
U-Img2dsm: Unpaired Simulation Of Digital Surface Models With Generative Adversarial Networks
Rotation Equivariant Convolutional Neural Networks For Hyperspectral Image Classification
U-Img2dsm: Unpaired Simulation Of Digital Surface Models With Generative Adversarial Networks
Flop-Reduction Through Memory Allocations Within Cnn For Hyperspectral Image Classification
U-Img2dsm: Unpaired Simulation Of Digital Surface Models With Generative Adversarial Networks
Flop-Reduction Through Memory Allocations Within Cnn For Hyperspectral Image Classification
Analytical Communication Performance Models As A Metric In The Partitioning Of Data-Parallel Kernels On Heterogeneous Platforms
Flop-Reduction Through Memory Allocations Within Cnn For Hyperspectral Image Classification
Analytical Communication Performance Models As A Metric In The Partitioning Of Data-Parallel Kernels On Heterogeneous Platforms
Efficient Convolutional Neural Network For Spectral-Spatial Hyperspectral Denoising
Analytical Communication Performance Models As A Metric In The Partitioning Of Data-Parallel Kernels On Heterogeneous Platforms
Efficient Convolutional Neural Network For Spectral-Spatial Hyperspectral Denoising
Gpu Parallel Implementation Of Dual-Depth Sparse Probabilistic Latent Semantic Analysis For Hyperspectral Unmixing
Efficient Convolutional Neural Network For Spectral-Spatial Hyperspectral Denoising
Gpu Parallel Implementation Of Dual-Depth Sparse Probabilistic Latent Semantic Analysis For Hyperspectral Unmixing
Solving Deep Neural Networks With Ordinary Differential Equations For Remotely Sensed Hyperspectral Image Classification
Gpu Parallel Implementation Of Dual-Depth Sparse Probabilistic Latent Semantic Analysis For Hyperspectral Unmixing
Solving Deep Neural Networks With Ordinary Differential Equations For Remotely Sensed Hyperspectral Image Classification
Open Multi-Processing Acceleration For Unsupervised Land Cover Categorization Using Probabilistic Latent Semantic Analysis
Solving Deep Neural Networks With Ordinary Differential Equations For Remotely Sensed Hyperspectral Image Classification
Open Multi-Processing Acceleration For Unsupervised Land Cover Categorization Using Probabilistic Latent Semantic Analysis
Accessibility-Free Active Learning For Hyperspectral Image Classification
Open Multi-Processing Acceleration For Unsupervised Land Cover Categorization Using Probabilistic Latent Semantic Analysis
Accessibility-Free Active Learning For Hyperspectral Image Classification
Low-High-Power Consumption Architectures For Deep-Learning Models Applied To Hyperspectral Image Classification
Accessibility-Free Active Learning For Hyperspectral Image Classification
Low-High-Power Consumption Architectures For Deep-Learning Models Applied To Hyperspectral Image Classification
Capsule Networks For Hyperspectral Image Classification
Low-High-Power Consumption Architectures For Deep-Learning Models Applied To Hyperspectral Image Classification
Capsule Networks For Hyperspectral Image Classification
Deep Pyramidal Residual Networks For Spectral-Spatial Hyperspectral Image Classification
Capsule Networks For Hyperspectral Image Classification
Deep Pyramidal Residual Networks For Spectral-Spatial Hyperspectral Image Classification
Feature Extraction With Multiscale Covariance Maps For Hyperspectral Image Classification
Deep Pyramidal Residual Networks For Spectral-Spatial Hyperspectral Image Classification
Feature Extraction With Multiscale Covariance Maps For Hyperspectral Image Classification
A Comparative Study Of Techniques For Hyperspectral Image Classification
Feature Extraction With Multiscale Covariance Maps For Hyperspectral Image Classification
A Comparative Study Of Techniques For Hyperspectral Image Classification
Cloud Deep Networks For Hyperspectral Image Analysis
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Cloud Deep Networks For Hyperspectral Image Analysis
Deep Learning Classifiers For Hyperspectral Imaging: A Review
Cloud Deep Networks For Hyperspectral Image Analysis
Deep Learning Classifiers For Hyperspectral Imaging: A Review
Hyperspectral Image Classification Using Random Occlusion Data Augmentation
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Hyperspectral Image Classification Using Random Occlusion Data Augmentation
Remote Sensing Image Superresolution Using Deep Residual Channel Attention
Hyperspectral Image Classification Using Random Occlusion Data Augmentation
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Evaluación De Rendimiento Del Entrenamiento Distribuido De Redes Neuronales Profundas En Plataformas Heterogéneas
A New Deep Generative Network For Unsupervised Remote Sensing Single-Image Super-Resolution
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A New Deep Generative Network For Unsupervised Remote Sensing Single-Image Super-Resolution
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A New Deep Convolutional Neural Network For Fast Hyperspectral Image Classification
Evaluation Of Different Regularization Methods For The Extreme Learning Machine Applied To Hyperspectral Images
A New Deep Convolutional Neural Network For Fast Hyperspectral Image Classification
Evaluation Of Different Regularization Methods For The Extreme Learning Machine Applied To Hyperspectral Images
An Investigation On Self-Normalized Deep Neural Networks For Hyperspectral Image Classification
Evaluation Of Different Regularization Methods For The Extreme Learning Machine Applied To Hyperspectral Images
An Investigation On Self-Normalized Deep Neural Networks For Hyperspectral Image Classification
Inter-Sensor Regression Analysis For Operational Sentinel-2 And Sentinel-3 Data Products
An Investigation On Self-Normalized Deep Neural Networks For Hyperspectral Image Classification
Inter-Sensor Regression Analysis For Operational Sentinel-2 And Sentinel-3 Data Products
Fast Dimensionality Reduction And Classification Of Hyperspectral Images With Extreme Learning Machines
Inter-Sensor Regression Analysis For Operational Sentinel-2 And Sentinel-3 Data Products
Fast Dimensionality Reduction And Classification Of Hyperspectral Images With Extreme Learning Machines
Deep & Dense Convolutional Neural Network For Hyperspectral Image Classification
Fast Dimensionality Reduction And Classification Of Hyperspectral Images With Extreme Learning Machines
Deep & Dense Convolutional Neural Network For Hyperspectral Image Classification
Multimodal Probabilistic Latent Semantic Analysis For Sentinel-1 And Sentinel-2 Image Fusion
Deep & Dense Convolutional Neural Network For Hyperspectral Image Classification
Multimodal Probabilistic Latent Semantic Analysis For Sentinel-1 And Sentinel-2 Image Fusion
Remote Sensing Image Fusion Using Hierarchical Multimodal Probabilistic Latent Semantic Analysis
Multimodal Probabilistic Latent Semantic Analysis For Sentinel-1 And Sentinel-2 Image Fusion
Remote Sensing Image Fusion Using Hierarchical Multimodal Probabilistic Latent Semantic Analysis
Deep Pyramidal Residual Networks For Spectral-Spatial Hyperspectral Image Classification
Remote Sensing Image Fusion Using Hierarchical Multimodal Probabilistic Latent Semantic Analysis
Deep Pyramidal Residual Networks For Spectral-Spatial Hyperspectral Image Classification
Feature Extraction With Multiscale Covariance Maps For Hyperspectral Image Classification
Deep Pyramidal Residual Networks For Spectral-Spatial Hyperspectral Image Classification
Feature Extraction With Multiscale Covariance Maps For Hyperspectral Image Classification
Multicore Implementation Of The Multi-Scale Adaptive Deep Pyramid Matching Model For Remotely Sensed Image Classification
Feature Extraction With Multiscale Covariance Maps For Hyperspectral Image Classification
Multicore Implementation Of The Multi-Scale Adaptive Deep Pyramid Matching Model For Remotely Sensed Image Classification
Onboard Payload-Data Dimensionality Reduction
Multicore Implementation Of The Multi-Scale Adaptive Deep Pyramid Matching Model For Remotely Sensed Image Classification
Onboard Payload-Data Dimensionality Reduction
Cloud Implementation Of The K-Means Algorithm For Hyperspectral Image Analysis
Onboard Payload-Data Dimensionality Reduction
Cloud Implementation Of The K-Means Algorithm For Hyperspectral Image Analysis
A Navigation Agent For Mobile Manipulators
Cloud Implementation Of The K-Means Algorithm For Hyperspectral Image Analysis
A Navigation Agent For Mobile Manipulators
Transformer-Based Network For Enhanced Wireless Service Differentiation In 6g
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