A High-Order Statistical Tensor Based Algorithm for Anomaly Detection in Hyperspectral Imagery

Recently, high-order statistics have received more and more interest in the field of hyperspectral anomaly detection. However, most of the existing high-order statistics based anomaly detection methods require stepwise iterations since they are the direct applications of blind source separation. Mor...

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Detalles Bibliográficos
Autores principales: Geng, Xiurui, Sun, Kang, Ji, Luyan, Zhao, Yongchao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4219173/
https://www.ncbi.nlm.nih.gov/pubmed/25366706
http://dx.doi.org/10.1038/srep06869

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4219173/
https://www.ncbi.nlm.nih.gov/pubmed/25366706
http://dx.doi.org/10.1038/srep06869

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