Deep Spatial-Spectral Subspace Clustering for Hyperspectral Images Based on Contrastive Learning

Deep Spatial-Spectral Subspace Clustering for Hyperspectral Images Based on Contrastive Learning

Hyperspectral image (HSI) clustering is a major challenge due to the redundant spectral information in HSIs. In this paper, we propose a novel deep subspace clustering method that extracts spatial–spectral features via contrastive learning. First, we construct positive and negative sample pairs thro...

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Bibliographic Details
Main Authors: Xiang Hu, Teng Li, Tong Zhou, Yuanxi Peng
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Remote Sensing
Subjects:
hyperspectral image clustering
deep subspace clustering
deep learning
spectral clustering
Online Access:https://www.mdpi.com/2072-4292/13/21/4418

Internet

https://www.mdpi.com/2072-4292/13/21/4418

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