Efficient Unsupervised Clustering of Hyperspectral Images via Flexible Multi-Anchor Graphs

Unsupervised hyperspectral image (HSI) clustering is a fundamental yet challenging task due to high dimensionality and complex spectral–spatial characteristics. In this paper, we propose a novel and efficient clustering framework centered on adaptive and diverse anchor graph modeling. First, we intr...

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Hlavní autoři:	Yihong Li, Ting Wang, Zhe Cao, Haonan Xin, Rong Wang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-07-01
Edice:	Remote Sensing
Témata:	hyperspectral image clustering anchor graph modeling unsupervised learning ERS segmentation label propagation efficient clustering
On-line přístup:	https://www.mdpi.com/2072-4292/17/15/2647
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