Alteration Detection of Multispectral/Hyperspectral Images Using Dual-Path Partial Recurrent Networks

Numerous alteration detection methods are designed based on image transformation algorithms and divergence of bi-temporal images. In the process of feature transformation, pseudo variant information caused by complex external factors will be highlighted. As a result, the error of divergence between...

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Auteurs principaux:	Jinlong Li, Xiaochen Yuan, Li Feng
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2021-11-01
Collection:	Remote Sensing
Sujets:	Unsupervised Slow Feature Analysis (USFA) Dual-path Partial Recurrent Networks (D-PRNs) Iteratively Reweighted Multivariate Alteration Detection (IRMAD) Principal Component Analysis (PCA)
Accès en ligne:	https://www.mdpi.com/2072-4292/13/23/4802
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