When Lie Groups Meet Hyperspectral Images: Equivariant Manifold Network for Few-Shot HSI Classification

Hyperspectral imagery (HSI) offers rich spectral signatures and fine-grained spatial structures for remote sensing, but practical HSI classification is often constrained by scarce labels and complex geometric disturbances, including translation, rotation, scaling, and shear. Existing deep models are...

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Detalles Bibliográficos

Principais autores:	Haolong Ban, Junchao Feng, Zejin Liu, Yue Jiang, Zhenxing Wang, Jialiang Liu, Yaowen Hu, Yuanshan Lin
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2026-03-01
Series:	Sensors
Assuntos:	hyperspectral image classification few-shot learning Lie groups geometric invariance SE(2) equivariance affine Lie group
Acceso en liña:	https://www.mdpi.com/1424-8220/26/7/2117
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