LSACT: A Lightweight Compact Transformer With Spatial Attention for Complex Remote Sensing Scene Classification

Remote sensing scene classification remains a challenging task due to large variations in scale, viewpoint, texture, and the limited availability of annotated data. To address these challenges, this work presents the Lightweight Spatial Attention Compact Transformer (LSACT), a model that combines co...

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Detalhes bibliográficos

Principais autores:	Mohammed Q. Alkhatib, Ali Jamali
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2026-01-01
Colecção:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Compact transformers convolutional neural networks (CNNs) deep learning scene classification vision transformers
Acesso em linha:	https://ieeexplore.ieee.org/document/11554931/
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