GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image Classification

Efficient extraction of spectral sequences and geospatial information has always been a hot topic in hyperspectral image classification. In terms of spectral sequence feature capture, RNN and Transformer have become mainstream classification frameworks due to their long-range feature capture capabil...

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Veröffentlicht in:	arXiv.org 2024-07
Hauptverfasser:	Yang, Aitao, Li, Min, Ding, Yao, Fang, Leyuan, Cai, Yaoming, He, Yujie
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Clutter Coding Computational efficiency Cubes Hyperspectral imaging Image classification Learning Modules Spatial data Vision
Online-Zugang:	Volltext
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