Hypergraph Convolutional Subspace Clustering With Multihop Aggregation for Hyperspectral Image

Subspace clustering methods have become a powerful tool to cluster hyperspectral imaging (HSI) data as they ensure theoretical guarantees and empirical success. However, existing methods explore subspace representation in the Euclidean space, and thus, failing to exploit the high-order relationship...

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Bibliographic Details

Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Zijia Zhang, Yaoming Cai, Wenyin Gong, Pedram Ghamisi, Xiaobo Liu, Richard Gloaguen
Format:	Article
Language:	English
Published:	IEEE 2022-01-01
Subjects:	Graph representation learning hypergraph convolutional networks (HGCN) hyperspectral image clustering subspace clustering
Online Access:	https://ieeexplore.ieee.org/document/9657490/