@inproceedings{af8af4ace40445169c49644e29b95db4,
title = "Hyperspectral Anomaly Detection Based on Adaptive Subspace Detector",
abstract = "Adaptive subspace detector (ASD) is a known target detection method for hyperspectral images (HSIs). The target template is required as the priori information in the traditional ASD. In this paper, we adapt ASD to hyperspectral anomaly detection with no priori information about the target. Simulation results show that the proposed algorithm is effective and works better than the classic anomaly detection algorithm-RX algorithm and some of its variants.",
keywords = "adaptive subspace detector, anomaly detection, Hyperspectral Image, target subspace component",
author = "Fuxiang Wang and Jinyong Chen and Kang Sun",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 4th IEEE International Conference on Image, Vision and Computing, ICIVC 2019 ; Conference date: 05-07-2019 Through 07-07-2019",
year = "2019",
month = jul,
doi = "10.1109/ICIVC47709.2019.8981012",
language = "英语",
series = "2019 IEEE 4th International Conference on Image, Vision and Computing, ICIVC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "257--260",
booktitle = "2019 IEEE 4th International Conference on Image, Vision and Computing, ICIVC 2019",
address = "美国",
}