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...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Xiaoqing Wan, Dongtao Mo, Yupeng He, Feng Chen, Zhize Li
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2026-01-01
coleção:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Classification hierarchical state-space mamba hyperspectral image (HSI) multidirectional depthwise convolution multiscale feature extraction
Acesso em linha:	https://ieeexplore.ieee.org/document/11363424/
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!