PUBLICACIÓN

KACNet: Kolmogorov-Arnold Convolution Network for Hyperspectral Anomaly Detection

ACCEDER A LA PUBLICACIÓN: Scopus Orcid

Zhaoyue Wu; Hailiang Lu; Mercedes E. Paoletti; Hongjun Su; Weipeng Jing; Juan M. Haut

2025 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

CITAS

11

DOI

10.1109/tgrs.2025.3540385

EID

2-s2.0-105001090316

ISSN

0196-2892

EISSN

1558-0644

AUTORES DE LA UEX

Mercedes Eugenia Paoletti Ávila
Juan Mario Haut Hurtado

OTRAS PUBLICACIONES DE INTERÉS

A Navigation Agent For Mobile Manipulators
Cerebral Ischemia Detection Using Deep Learning Techniques
Kacnet: Kolmogorov-Arnold Convolution Network For Hyperspectral Anomaly Detection
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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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Hyperspectral Anomaly Detection With Relaxed Collaborative Representation
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Heterogeneous Model Parallelism For Deep Neural Networks
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Training Deep Neural Networks: A Static Load Balancing Approach
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Scalable Recurrent Neural Network For Hyperspectral Image Classification
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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
Efficient Convolutional Neural Network For Spectral-Spatial Hyperspectral Denoising
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