Spatial-Spectral Adaptive Graph Convolutional Subspace Clustering for Hyperspectral Image

被引：0
|
作者：
Liu, Yuqi [1 ]
Zhu, Enshuo [2 ]
Wang, Qinghe [2 ]
Li, Junhong [3 ]
Liu, Shujun [4 ]
Hu, Yaowen [3 ]
Han, Yuhang [2 ]
Zhou, Guoxiong [1 ]
Guan, Renxiang [3 ]
机构：
[1] Central South University of Forestry and Technology, School of Electronic Information and Physics, Changsha,410004, China
[2] Northeast Forestry University, College of Aulin, Harbin,150040, China
[3] National University of Defense Technology, School of Computer, Changsha,410073, China
[4] University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), Enschede,7514AE, Netherlands
来源：
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | 2024年
关键词：
Coefficient matrix - Convolution techniques - Design features - Graph convolution network - HyperSpectral - Hyperspectral image - Neighborhood information - Subspace clustering - Super pixels - Unsupervised classification;
D O I：
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中图分类号：
学科分类号：
摘要：
67
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