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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group
2014
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| Materias: | |
| 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 |