PUBLICACIÓN

Deep Attention-Driven HSI Scene Classification Based on Inverted Dot-Product

ACCEDER A LA PUBLICACIÓN: Scopus Orcid OpenAlex Catalogo Bibliotecas UEx

Paoletti M.E.; Tao X.; Han L.; Wu Z.; Moreno-Alvarez S.; Haut J.M.

2022 International Geoscience and Remote Sensing Symposium (IGARSS)

CITAS

1

DOI

10.1109/igarss46834.2022.9883028

EID

2-s2.0-85140355382

ISBN

9781665427920

BIBTEX

@article{Haut2022,title = {Deep Attention-Driven HSI Scene Classification Based on Inverted Dot-Product},journal = {International Geoscience and Remote Sensing Symposium IGARSS},year = {2022},volume = {2022-July},pages = {1380-1383},author = {Paoletti, M.E. and Tao, X. and Han, L. and Wu, Z. and Moreno-Alvarez, S. and Haut, J.M.}}

AUTORES DE LA UEX

Mercedes Eugenia Paoletti Ávila
Juan Mario Haut Hurtado

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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
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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