Matrix Autoregressive Model for Hyperspectral Anomaly Detection
For anomaly detection in hyperspectral imagery, the scene can be treated as a combination of the background and the anomalies. Once a pure background hyperspectral image (HSI) is obtained, the anomalies can be easily located. In this article, we detect the anomalies via a matrix autoregressive model...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9903317/ |