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...

Popoln opis

Bibliografske podrobnosti

Principais autores:	Yihong Li, Ting Wang, Zhe Cao, Haonan Xin, Rong Wang
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-07-01
Serija:	Remote Sensing
Teme:	hyperspectral image clustering anchor graph modeling unsupervised learning ERS segmentation label propagation efficient clustering
Online dostop:	https://www.mdpi.com/2072-4292/17/15/2647
Oznake:	Označite Brez oznak, prvi označite!