Multi-Scale Dense Graph Attention Network for Hyperspectral Classification

Multi-Scale Dense Graph Attention Network for Hyperspectral Classification

In recent years, numerous deep learning-based methods have gained increasing attention in hyperspectral classification, particularly the Graph Neural Network, which exhibits superior capabilities in structural description. However, a single graph structure is not suitable for hyperspectral feature r...

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Bibliographic Details
Main Authors:	Chen Wang, Lu Li, ZhongQi Wang, JingYao Ma, YunLong Kong, YanFeng Wang, JianRui Chang, ZiMeng Zhang, XinYu Lin
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2024-12-01
Series:	Canadian Journal of Remote Sensing
Online Access:	http://dx.doi.org/10.1080/07038992.2024.2333424
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