Hyperspectral image classification with localized spectral filtering-based graph attention network

被引：1

作者：

Pu, S. ^{[1
,2
,3
]}

Song, Y. ^{[1
]}

Chen, Y. ^{[1
]}

Li, Y. ^{[1
]}

Zhang, J. ^{[1
]}

Lin, Q. ^{[1
]}

Zhu, X. ^{[1
]}

Chen, Y. ^{[1
]}

Zeng, H. ^{[1
]}

Liao, K. ^{[1
]}

Yu, H. ^{[1
]}

Yuan, J. ^{[1
]}

Yu, S. ^{[1
]}

Zuo, W. ^{[1
,4
]}

机构：

[1] Faculty of Geomatics, East China University of Technology, Nanchang,330013, China

[2] Key Laboratory of Mine Environmental Monitoring and Improving Around Poyang Lake, Ministry of Natural Resources, Nanchang,330013, China

[3] Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing,100094, China

[4] State Key Laboratory of Nuclear Resources and Environment, Nanchang,330013, China

来源：

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences | 2022年 / 5卷 / 03期

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Graph attention network - Graph-based - Graphbased deep learning. - Hyperspectral Data - Hyperspectral image classification - Localised - Localized spectral filtering - Self-attention - Spectral filtering - Spectral information

引用

页码：155 / 161

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