Graph-Constrained Residual Self-Expressive Subspace Clustering Network for Hyperspectral Images

Graph-Constrained Residual Self-Expressive Subspace Clustering Network for Hyperspectral Images

Hyperspectral images are widely use due to their rich spectral information. Meanwhile, the difficult acquisition of data labels makes unsupervised classification attracts attention. Subspace clustering as an unsupervised classification method is widely used for hyperspectral image analysis because o...

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Bibliographic Details
Main Authors: Kun Huang, Xin Li, Yingdong Pi, Hao Cheng, Guowei Xu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Deep subspace clustering (DSC)
graph convolution
hyperspectral clustering
self-expressive network
Online Access:https://ieeexplore.ieee.org/document/10319068/

Internet

https://ieeexplore.ieee.org/document/10319068/

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