Spatial-Spectral Adaptive Graph Convolutional Subspace Clustering for Hyperspectral Image

Spatial-Spectral Adaptive Graph Convolutional Subspace Clustering for Hyperspectral Image

Graph convolution subspace clustering has been widely used in the field of hyperspectral image (HSI) unsupervised classification due to its ability to aggregate neighborhood information. However, existing methods focus on using graph convolution techniques to design feature extraction functions, ign...

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Bibliographic Details
Main Authors: Yuqi Liu, Enshuo Zhu, Qinghe Wang, Junhong Li, Shujun Liu, Yaowen Hu, Yuhang Han, Guoxiong Zhou, Renxiang Guan
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Graph convolution network
hyperspectral image (HSI)
subspace clustering
superpixel
Online Access:https://ieeexplore.ieee.org/document/10757387/
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