Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation
Most of the conventional anomaly detectors only take advantage of the spectral information and do not consider the spatial information within neighboring pixels. Recently, the spectral-spatial based local summation anomaly detection (LSAD) algorithm has achieved excellent detection performances. In...
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| Auteurs principaux: | , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2019-06-01
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| Collection: | Remote Sensing |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/2072-4292/11/11/1318 |
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