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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Detalles Bibliográficos
Autores principales: Zhang, Yi, Wu, Zebin, Sun, Jin, Zhang, Yan, Zhu, Yaoqin, Liu, Jun, Zang, Qitao, Plaza, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263513/
https://www.ncbi.nlm.nih.gov/pubmed/30366454
http://dx.doi.org/10.3390/s18113627

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263513/
https://www.ncbi.nlm.nih.gov/pubmed/30366454
http://dx.doi.org/10.3390/s18113627

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