Hyperspectral band selection via region-wise latent feature fusion and graph filter embedded subspace clustering-Reference-Cited by-同舟云学术

Hyperspectral band selection via region-wise latent feature fusion and graph filter embedded subspace clustering

Published:2024-06 Issue: Volume:132 Page:107911
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Feng Wei^ORCID,Wang Minhui,Tang Chang,Xie Weiying,Li Xianju^ORCID,Zheng Xiao,Xu Jiangfeng

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference63 articles.

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3. Sample Latent Feature-Associated Low-Rank Subspace Clustering for Hyperspectral Band Selection;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024