Flight Pattern Recognition

Flight Pattern Recognition is a methodological framework within ornithological science that systematically identifies avian species based on the distinctive spatiotemporal dynamics of their aerial locomotion, distinguishing it from other identification techniques by its reliance on species-specific flight behavior, wingbeat kinematics, and trajectory morphology.

36

Publications

1K

Citations

154

Authors

65

Institutions

Publications per year

2017–2026

24

Authors

154

  1. ZS
    Zhuoyong Shi

    Northwestern Polytechnical University, China

    2 publications · 75 citations

    2

    h-index

  2. HC
    Hongjun Chai

    Nanjing University of Aeronautics and Astronautics, China

    2 publications · 41 citations

    2

    h-index

  3. DL
    Datong Liu

    Harbin Institute of Technology, China

    2 publications · 42 citations

    2

    h-index

  4. GS
    Guoqing Shi

    Northwestern Polytechnical University, China

    2 publications · 75 citations

    2

    h-index

  5. YW
    Yong Wu

    Northwestern Polytechnical University, China

    2 publications · 75 citations

    2

    h-index

1–5 of 154

Venues

  1. Neurocomputing

    2 publications · 48 citations

    2

    h-index

  2. Pattern Recognition Letters

    2 publications · 56 citations

    2

    h-index

  3. Applied Soft Computing

    2 publications · 33 citations

    2

    h-index

  4. Aerospace Science and Technology

    AST · 2 publications · 40 citations

    2

    h-index

  5. Science

    1 publications · 84 citations

    1

    h-index

1–5