Hyperspectral Anomaly Detection via Tensor- Based Endmember Extraction and Low-Rank Decomposition
In: IEEE Geoscience and Remote Sensing Letters, Jg. 17 (2020-10-01), Heft 10, S. 1772-1776
Online
academicJournal
Zugriff:
Titel: |
Hyperspectral Anomaly Detection via Tensor- Based Endmember Extraction and Low-Rank Decomposition
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Autor/in / Beteiligte Person: | Song, S. ; Zhou, H. ; Gu, L. ; Yang, Y. |
Link: | |
Zeitschrift: | IEEE Geoscience and Remote Sensing Letters, Jg. 17 (2020-10-01), Heft 10, S. 1772-1776 |
Veröffentlichung: | 2020 |
Medientyp: | academicJournal |
ISSN: | 1545-598X (print) ; 1558-0571 (print) |
DOI: | 10.1109/LGRS.2019.2953342 |
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