1 / 2018-07-09 15:53:58
Hyperspectral Anomaly Detection Based on Adaptive Subspace Detector
Hyperspectral image,anomaly detection,adaptive subspace detector,target subspace
Draft Pending
Lu Li / 北京航空航天大学
Fuxiang Wang / 北京航空航天大学
Adaptive subspace detector (ASD) is a well-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.
Important Date
  • Conference Date

    Oct 08

    2018

    to

    Oct 10

    2018

  • May 28 2018

    Draft paper submission deadline

  • Aug 03 2018

    Draft Paper Acceptance Notification

  • Aug 27 2018

    Final Paper Deadline

  • Oct 10 2018

    Registration deadline

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