Hyperspectral Anomaly Detection Using Deep Learning: A Review

Hyperspectral image-anomaly detection (HSI-AD) has become one of the research hotspots in the field of remote sensing. Because HSI’s features of integrating image and spectrum provide a considerable data basis for abnormal object detection, HSI-AD has a huge application potential in HSI analysis. It...

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Bibliographic Details
Published in:	Remote sensing (Basel, Switzerland) Vol. 14; no. 9; p. 1973
Main Authors:	Hu, Xing, Xie, Chun, Fan, Zhe, Duan, Qianqian, Zhang, Dawei, Jiang, Linhua, Wei, Xian, Hong, Danfeng, Li, Guoqiang, Zeng, Xinhua, Chen, Wenming, Wu, Dongfang, Chanussot, Jocelyn
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.05.2022
Subjects:	Anomalies Datasets Deep learning Feature extraction hyperspectral image-anomaly detection Hyperspectral imaging Machine learning Object recognition Performance assessment Remote sensing Reviews Sensors Spectrum analysis Los Angeles California United States > US Texas
ISSN:	2072-4292, 2072-4292
Online Access:	Get full text
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