PUBLICACIÓN

Optimizing Distributed Deep Learning in Heterogeneous Computing Platforms for Remote Sensing Data Classification

ACCEDER A LA PUBLICACIÓN: Scopus Orcid

Moreno-Alvarez S.; Paoletti M.E.; Rico J.A.; Cavallaro G.; Haut J.M.

2022 International Geoscience and Remote Sensing Symposium (IGARSS)

CITAS

1

DOI

10.1109/igarss46834.2022.9883762

EID

2-s2.0-85140410050

ISBN

9781665427920

AUTORES DE LA UEX

Mercedes Eugenia Paoletti Ávila
Juan Mario Haut Hurtado

OTRAS PUBLICACIONES DE INTERÉS

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Distributed Parallel Hyperspectral Unmixing For Large-Scale Data In Spark Environments Via Geometric Distance
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Cross Hyperspectral And Lidar Attention Transformer: An Extended Self-Attention For Land Use And Land Cover Classification
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Federated Learning Meets Remote Sensing
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Federated Learning Meets Remote Sensing
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Typical Mineral Abundance Estimation Of Chang'e-3 Yutu Rover With Hyperspectral Data Based On Diffusion Autoencoder Unmixing Model
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Pycircularstats: A Python-Based Tool For Remote Sensing Circular Statistics And Graphical Analysis
Heterogeneous Gradient Computing Optimization For Scalable Deep Neural Networks
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Deep Attention-Driven Hsi Scene Classification Based On Inverted Dot-Product
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A New Deep Convolutional Network For Effective Hyperspectral Unmixing
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On Training Set Selection In Spatial Deep Learning
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Hyperspectral Anomaly Detection With Relaxed Collaborative Representation
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Hyperspectral Anomaly Detection With Relaxed Collaborative Representation
Remote Sensing Image Classification Using Cnns With Balanced Gradient For Distributed Heterogeneous Computing
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Remote Sensing Image Classification Using Cnns With Balanced Gradient For Distributed Heterogeneous Computing
Fast Orthogonal Projection For Hyperspectral Unmixing
Remote Sensing Image Classification Using Cnns With Balanced Gradient For Distributed Heterogeneous Computing
Fast Orthogonal Projection For Hyperspectral Unmixing
Efficient Semantic Segmentation Of Hyperspectral Images Using Adaptable Rectangular Convolution
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Efficient Semantic Segmentation Of Hyperspectral Images Using Adaptable Rectangular Convolution
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Endmember Estimation From Hyperspectral Images Using Geometric Distances
Multiple Attention-Guided Capsule Networks For Hyperspectral Image Classification
Endmember Estimation From Hyperspectral Images Using Geometric Distances
Multiple Attention-Guided Capsule Networks For Hyperspectral Image Classification
Separable Attention Network In Single- And Mixed-Precision Floating Point For Land-Cover Classification Of Remote Sensing Images
Multiple Attention-Guided Capsule Networks For Hyperspectral Image Classification
Separable Attention Network In Single- And Mixed-Precision Floating Point For Land-Cover Classification Of Remote Sensing Images
Generative Adversarial Minority Oversampling For Spectral-Spatial Hyperspectral Image Classification
Separable Attention Network In Single- And Mixed-Precision Floating Point For Land-Cover Classification Of Remote Sensing Images
Generative Adversarial Minority Oversampling For Spectral-Spatial Hyperspectral Image Classification
Gpu-Friendly Neural Networks For Remote Sensing Scene Classification
Generative Adversarial Minority Oversampling For Spectral-Spatial Hyperspectral Image Classification
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Angulargrad: A New Optimization Technique For Angular Convergence Of Convolutional Neural Networks
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Ghostnet For Hyperspectral Image Classification
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Adaptable Convolutional Network For Hyperspectral Image Classification
Ghostnet For Hyperspectral Image Classification
Adaptable Convolutional Network For Hyperspectral Image Classification
Distributed Deep Learning For Remote Sensing Data Interpretation
Adaptable Convolutional Network For Hyperspectral Image Classification
Distributed Deep Learning For Remote Sensing Data Interpretation
Deep Mixed Precision For Hyperspectral Image Classification
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U-Img2dsm: Unpaired Simulation Of Digital Surface Models With Generative Adversarial Networks
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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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Endmember Estimation With Maximum Distance Analysis
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Multiple Incremental Kernel Convolution For Land Cover Classification Of Remotely Sensed Images
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Multiple Incremental Kernel Convolution For Land Cover Classification Of Remotely Sensed Images
Adapting Kernels For Hyperspectral Image Classification
Multiple Incremental Kernel Convolution For Land Cover Classification Of Remotely Sensed Images
Adapting Kernels For Hyperspectral Image Classification
Morphological Convolutional Neural Networks For Hyperspectral Image Classification
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
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Analyzing The Users’ Acceptance Of An Iot Cloud Platform Using The Utaut/tam Model
Angulargrad: A New Optimization Technique For Angular Convergence Of Convolutional Neural Networks
A Tool To Assess The Communication Cost Of Parallel Kernels On Heterogeneous Platforms
Angulargrad: A New Optimization Technique For Angular Convergence Of Convolutional Neural Networks
A Tool To Assess The Communication Cost Of Parallel Kernels On Heterogeneous Platforms
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
A Single Model Cnn For Hyperspectral Image Denoising
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
A Comparative Study Of Techniques For Hyperspectral Image Classification
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
Deep Learning Classifiers For Hyperspectral Imaging: A Review
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
Remote Sensing Image Superresolution Using Deep Residual Channel Attention
Visual Attention-Driven Hyperspectral Image Classification
Remote Sensing Image Superresolution Using Deep Residual Channel Attention
Visual Attention-Driven Hyperspectral Image Classification
Remote Sensing Single-Image Superresolution Based On A Deep Compendium Model
Visual Attention-Driven Hyperspectral Image Classification
Remote Sensing Single-Image Superresolution Based On A Deep Compendium Model
Nueva Implementación Paralela En Gpus Del Algoritmo Plsa Para Desmezclado De Imágenes Hiperespectrales
Remote Sensing Single-Image Superresolution Based On A Deep Compendium Model
Nueva Implementación Paralela En Gpus Del Algoritmo Plsa Para Desmezclado De Imágenes Hiperespectrales
Evaluación De Rendimiento Del Entrenamiento Distribuido De Redes Neuronales Profundas En Plataformas Heterogéneas
Nueva Implementación Paralela En Gpus Del Algoritmo Plsa Para Desmezclado De Imágenes Hiperespectrales
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
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
Active Learning With Convolutional Neural Networks For Hyperspectral Image Classification Using A New Bayesian Approach
A New Deep Generative Network For Unsupervised Remote Sensing Single-Image Super-Resolution
Active Learning With Convolutional Neural Networks For Hyperspectral Image Classification Using A New Bayesian Approach
A New Deep Convolutional Neural Network For Fast Hyperspectral Image Classification
Active Learning With Convolutional Neural Networks For Hyperspectral Image Classification Using A New Bayesian Approach
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
Multicore Implementation Of The Multi-Scale Adaptive Deep Pyramid Matching Model For Remotely Sensed Image Classification
Remote Sensing Image Fusion Using Hierarchical Multimodal Probabilistic Latent Semantic Analysis
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
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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
Cerebral Ischemia Detection Using Deep Learning Techniques
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