Unsupervised Nearest Regularized Subspace Based on Spectral Space Reconstruction for Hyperspectral Anomaly Detection

Zhi-wei WANG; Kun TAN; Xue WANG; Jian-wei DING; Yu CHEN

doi:10.3788/gzxb20204906.0630004

Acta Photonica Sinica, Volume. 49, Issue 6, 0630004(2020)

Unsupervised Nearest Regularized Subspace Based on Spectral Space Reconstruction for Hyperspectral Anomaly Detection

Zhi-wei WANG1... Kun TAN1,2,*, Xue WANG1,2, Jian-wei DING3 and Yu CHEN1 |Show fewer author(s)

¹Key Laboratory of Land, Environment and Disaster Monitoring, Ministry of Natural Resources, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China

²Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China

³The Second Surveying and Mapping Institute of Hebei, Shijiazhuang, 050037, China

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References(16)

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Zhi-wei WANG, Kun TAN, Xue WANG, Jian-wei DING, Yu CHEN. Unsupervised Nearest Regularized Subspace Based on Spectral Space Reconstruction for Hyperspectral Anomaly Detection[J]. Acta Photonica Sinica, 2020, 49(6): 0630004

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Paper Information

Category: Spectroscopy

Received: Dec. 9, 2019

Accepted: Mar. 2, 2020

Published Online: Nov. 26, 2020

The Author Email: TAN Kun (tankuncu@126.com)

DOI:10.3788/gzxb20204906.0630004

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

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