Hyperspectral anomaly detection based on spectral–spatial background joint sparse representation
In recent years, some algorithms based on sparse representation have been proposed to improve the detection performance for hyperspectral anomaly detection. Among these algorithms, the background joint sparse representation (BJSR) algorithm adaptively selects the most representative background bases...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2017-01-01
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| Series: | European Journal of Remote Sensing |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/22797254.2017.1331697 |