Multiscale Sequence Aware Mamba for Hyperspectral Image Classification

Benefiting from the state-space model, Mamba-based networks can effectively model long-range sequential dependencies while maintaining linear complexity. However, for hyperspectral images (HSIs) with rich spectral and spatial information, Mamba-based networks struggle to capture multiscale spectral&...

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Hlavní autoři:	Fulin Xu, Duo Zhan, Mingyang Ma, Shaohui Mei
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2026-01-01
Edice:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Témata:	Convolutional neural network (CNN) hyperspectral image (HSI) classification Mamba multiscale feature
On-line přístup:	https://ieeexplore.ieee.org/document/11568480/
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