GS-MambaNet: A Decoupled Global-Spatial and Grouped-Spectral Mamba Network for Hyperspectral Image Classification

Hyperspectral images (HSIs) inherently possess abundant spectral and spatial information, making them invaluable across diverse remote sensing applications. Recently, deep learning architecture has emerged as the dominant paradigm for HSI classification. However, existing methods face an inherent di...

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मुख्य लेखकों:	Dekai Li, Uzair Aslam Bhatti, Jiaxin Li, Yonis Gulzar, Shahad Albannay, Ayoob Lone
स्वरूप:	Artigo
भाषा:	Inglês
प्रकाशित:	IEEE 2026-01-01
श्रृंखला:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
विषय:	Asynchronous modeling hyperspectral image (HSI) classification Mamba spatial–spectral fusion state-space model (SSM)
ऑनलाइन पहुंच:	https://ieeexplore.ieee.org/document/11557148/
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