29 July 2015 Hyperspectral anomaly detection based on maximum likelihood method
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Proceedings Volume 9659, International Conference on Photonics Solutions 2015; 965914 (2015) https://doi.org/10.1117/12.2196550
Event: International Conference on Photonics Solutions 2015, 2015, Hua Hin, Thailand
Abstract
Detection of a subspace anomaly is an important application of hyperspectral imaging in remote sensing. Sub-space anomaly detection depends on the unknown dimension of the main background subspace. When the dimension is high, detection algorithms tend to have unsatisfactory performance. This paper proposes an anomaly detection algorithm that will continue to perform satisfactorily when the dimension is high.
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Edisanter Lo, Edisanter Lo, } "Hyperspectral anomaly detection based on maximum likelihood method", Proc. SPIE 9659, International Conference on Photonics Solutions 2015, 965914 (29 July 2015); doi: 10.1117/12.2196550; https://doi.org/10.1117/12.2196550
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