Recursive rx with extended multi-attribute profiles for hyperspectral anomaly detection

HIGHLIGHTS

  • who: Fang He and colleagues from the Xi`an Research Institute of Hi-Tech, Xi`an, China College of Marxism, National University of Defense Technology, Wuhan, China have published the research: Recursive RX with Extended Multi-Attribute Profiles for Hyperspectral Anomaly Detection, in the Journal: (JOURNAL)
  • what: The authors focus on the RX-based algorithm. The authors propose a new hyperspectral anomaly detection algorithm called recursive RX with extended multi-attribute profiles (EMAP) (RRXEMAP). To evaluate the performance of the proposed RRXEMAP method, the authors compare it with the following five state-of-the-art . . .

     

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