PUBLICACIÓN

Joint-learning-based coded aperture compressive temporal imaging

ACCEDER A LA PUBLICACIÓN: Scopus

2024 Journal of the Optical Society of America A: Optics and Image Science, and Vision

CITAS

0

DOI

10.1364/josaa.523092

EID

2-s2.0-85198735631

ISSN

1084-7529

EISSN

1520-8532

AUTORES DE LA UEX

Mercedes Eugenia Paoletti Ávila
Juan Mario Haut Hurtado

OTRAS PUBLICACIONES DE INTERÉS

Cross Hyperspectral And Lidar Attention Transformer: An Extended Self-Attention For Land Use And Land Cover Classification
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Hashing For Retrieving Long-Tailed Distributed Remote Sensing Images
Cloud-Based Analysis Of Large-Scale Hyperspectral Imagery For Oil Spill Detection
Hashing For Retrieving Long-Tailed Distributed Remote Sensing Images
An Abundance-Guided Attention Network For Hyperspectral Unmixing
Hashing For Retrieving Long-Tailed Distributed Remote Sensing Images
An Abundance-Guided Attention Network For Hyperspectral Unmixing
Joint-Learning-Based Coded Aperture Compressive Temporal Imaging
An Abundance-Guided Attention Network For Hyperspectral Unmixing
Joint-Learning-Based Coded Aperture Compressive Temporal Imaging
Hash-Based Remote Sensing Image Retrieval
Joint-Learning-Based Coded Aperture Compressive Temporal Imaging
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Federated Learning Meets Remote Sensing
Cross Hyperspectral And Lidar Attention Transformer: An Extended Self-Attention For Land Use And Land Cover Classification
Cloud-Based Analysis Of Large-Scale Hyperspectral Imagery For Oil Spill Detection
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