An Efficient and Robust Framework for Hyperspectral Anomaly Detection
Hyperspectral images contain distinguishing spectral information and show great potential in the anomaly detection (AD) task which aims to extract discrepant targets from the background. However, most of the popular hyperspectral AD techniques are time consuming and suffer from poor detection perfor...
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Autores principales: | Linbo Tang, Zhen Li, Wenzheng Wang, Baojun Zhao, Yu Pan, Yibing Tian |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/0cb8843729ac48469c44da49039502af |
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