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)
Author Affiliations
  • 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)

    [11] [11] LI W, DU Q. Unsupervised nearest regularized subspace f anomaly detection in hyperspectral imagery[C]. 2013 IEEE International Geoscience Remote Sensing SymposiumIGARSS, Melbourne, Australia, 2013: 10551058.https:ieeexple.ieee.gdocument6721345tp=&arnumber=6721345

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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

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