A Distributed Parallel Algorithm Based on Low-Rank and Sparse Representation for Anomaly Detection in Hyperspectral Images

Anomaly detection aims to separate anomalous pixels from the background, and has become an important application of remotely sensed hyperspectral image processing. Anomaly detection methods based on low-rank and sparse representation (LRASR) can accurately detect anomalous pixels. However, with the...

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Vydáno v:	Sensors (Basel, Switzerland) Ročník 18; číslo 11; s. 3627
Hlavní autoři:	Zhang, Yi, Wu, Zebin, Sun, Jin, Zhang, Yan, Zhu, Yaoqin, Liu, Jun, Zang, Qitao, Plaza, Antonio
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI 25.10.2018 MDPI AG
Témata:	anomaly detection apache spark clouds distributed and parallel computing hyperspectral images anomaly detection clouds distributed and parallel computing hyperspectral images apache spark
ISSN:	1424-8220, 1424-8220
On-line přístup:	Získat plný text
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