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Hyperspectral Anomaly Detection via Dictionary Construction-Based Low-Rank Representation and Adaptive Weighting

Anomaly detection (AD), which aims to distinguish targets with significant spectral differences from the background, has become an important topic in hyperspectral imagery (HSI) processing. In this paper, a novel anomaly detection algorithm via dictionary construction-based low-rank representation (...

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Autori principali: Yixin Yang, Jianqi Zhang, Shangzhen Song, Delian Liu
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2019-01-01
Serie:Remote Sensing
Soggetti:
anomaly detection
hyperspectral imagery
low-rank representation
dictionary construction
HSI reconstruction
sparse coding
adaptive weighting
Accesso online:http://www.mdpi.com/2072-4292/11/2/192
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