Efficient Attention Transformer Network With Self-Similarity Feature Enhancement for Hyperspectral Image Classification

Recently, transformer has gained widespread application in hyperspectral image classification (HSIC) tasks due to its powerful global modeling ability. However, the inherent high-dimensional property of hyperspectral images (HSIs) leads to a sharp increase in the number of parameters and expensive c...

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Autores principales:	Yuyang Wang, Zhenqiu Shu, Zhengtao Yu
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2025-01-01
Colección:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Materias:	Attention hyperspectral image classification (HSIC) self-similarity spectral interactive transformer
Acceso en línea:	https://ieeexplore.ieee.org/document/10964176/
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