Structured Background Modeling for Hyperspectral Anomaly Detection

Background modeling has been proven to be a promising method of hyperspectral anomaly detection. However, due to the cluttered imaging scene, modeling the background of an hyperspectral image (HSI) is often challenging. To mitigate this problem, we propose a novel structured background modeling-base...

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Detalles Bibliográficos
Autores principales: Li, Fei, Zhang, Lei, Zhang, Xiuwei, Chen, Yanjia, Jiang, Dongmei, Zhao, Genping, Zhang, Yanning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163918/
https://www.ncbi.nlm.nih.gov/pubmed/30227670
http://dx.doi.org/10.3390/s18093137

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163918/
https://www.ncbi.nlm.nih.gov/pubmed/30227670
http://dx.doi.org/10.3390/s18093137

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