PUBLICACIÓN

Efficient Deep Learning for Hyperspectral Image Classification: Quantization, Distillation, and Pruning

ACCEDER A LA PUBLICACIÓN: Scopus Orcid

María B. García-Flores; Carlos Cañada-Rostro; Juan M. Haut

2026

CITAS

0

DOI

10.1007/978-981-95-2038-1_6

EID

2-s2.0-105036199658

ISSN

2191-6586

EISSN

2191-6594

AUTORES DE LA UEX

Juan Mario Haut Hurtado

OTRAS PUBLICACIONES DE INTERÉS

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Efficient Deep Learning For Hyperspectral Image Classification: Quantization, Distillation, And Pruning
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Adapting Kernels For Hyperspectral Image Classification
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Scalable Recurrent Neural Network For Hyperspectral Image Classification
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Neural Ordinary Differential Equations For Hyperspectral Image Classification
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Inference In Supervised Spectral Classifiers For On-Board Hyperspectral Imaging: An Overview
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Rotation Equivariant Convolutional Neural Networks For Hyperspectral Image Classification
Efficient Convolutional Neural Network For Spectral-Spatial Hyperspectral Denoising
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Efficient Convolutional Neural Network For Spectral-Spatial Hyperspectral Denoising
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Open Multi-Processing Acceleration For Unsupervised Land Cover Categorization Using Probabilistic Latent Semantic Analysis
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Low-High-Power Consumption Architectures For Deep-Learning Models Applied To Hyperspectral Image Classification
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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
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Cloud Deep Networks For Hyperspectral Image Analysis
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Cloud Deep Networks For Hyperspectral Image Analysis
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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
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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
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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
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
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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
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Multicore Implementation Of The Multi-Scale Adaptive Deep Pyramid Matching Model For Remotely Sensed Image Classification
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