Unified Low-Rank Subspace Clustering with Dynamic Hypergraph for Hyperspectral Image

Unified Low-Rank Subspace Clustering with Dynamic Hypergraph for Hyperspectral Image

Low-rank representation with hypergraph regularization has achieved great success in hyperspectral imagery, which can explore global structure, and further incorporate local information. Existing hypergraph learning methods only construct the hypergraph by a fixed similarity matrix or are adaptively...

Full description

Bibliographic Details
Main Authors: Jinhuan Xu, Liang Xiao, Jingxiang Yang
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
hyperspectral images
low-rank subspace clustering
hypergraph learning
discrete label learning
Online Access:https://www.mdpi.com/2072-4292/13/7/1372

Internet

https://www.mdpi.com/2072-4292/13/7/1372

Similar Items