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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Autors principals:	Yi Zhang, Zebin Wu, Jin Sun, Yan Zhang, Yaoqin Zhu, Jun Liu, Qitao Zang, Antonio Plaza
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2018-10-01
Col·lecció:	Sensors
Matèries:	hyperspectral images anomaly detection distributed and parallel computing apache spark clouds
Accés en línia:	https://www.mdpi.com/1424-8220/18/11/3627
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