Hyperspectral Anomaly Detection via Discriminative Feature Learning with Multiple-Dictionary Sparse Representation

Hyperspectral Anomaly Detection via Discriminative Feature Learning with Multiple-Dictionary Sparse Representation

Most hyperspectral anomaly detection methods directly utilize all the original spectra to recognize anomalies. However, the inherent characteristics of high spectral dimension and complex spectral correlation commonly make their detection performance unsatisfactory. Therefore, an effective feature e...

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Bibliographic Details
Main Authors: Dandan Ma, Yuan Yuan, Qi Wang
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Remote Sensing
Subjects:
anomaly detection
hyperspectral image
sparse representation
multiple dictionaries
feature extraction
clustering
Online Access:http://www.mdpi.com/2072-4292/10/5/745

Internet

http://www.mdpi.com/2072-4292/10/5/745

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