MD²F-Mamba: Multidirectional Depthwise Convolution and Dual-Branch Mamba Feature Fusion Networks for Hyperspectral Image Classification

Hyperspectral image (HSI) classification necessitates adept modeling of both intricate local variations and long-range spectral–spatial dependencies, while maintaining computational efficiency. Conventional methods frequently prioritize on either local or global features, neglecting direction...

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Главные авторы:	Xiaoqing Wan, Dongtao Mo, Yupeng He, Feng Chen, Zhize Li
Формат:	Artigo
Язык:	Inglês
Опубликовано:	IEEE 2026-01-01
Серии:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Предметы:	Classification hierarchical state-space mamba hyperspectral image (HSI) multidirectional depthwise convolution multiscale feature extraction
Online-ссылка:	https://ieeexplore.ieee.org/document/11363424/
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