Biological Echo Classification

Biological Echo Classification is a radar signal processing methodology that distinguishes biological scatterers, such as birds, bats, and insects, from non-biological echoes in atmospheric radar data based on their distinctive morphological, temporal, and polarimetric signatures.

13

Publications

659

Citations

40

Authors

28

Institutions

Publications per year

2017–2026

4

Authors

40

  1. RK
    Roman Kuc

    Yale University, United States

    2 publications · 38 citations

    2

    h-index

  2. YY
    Yossi Yovel

    Tel Aviv University, Israel

    2 publications · 136 citations

    2

    h-index

  3. HS
    Hans‐Ulrich Schnitzler

    University of Tübingen, Germany

    2 publications · 262 citations

    2

    h-index

  4. GR
    George R. Cutter

    NOAA National Marine Fisheries Service Southwest Fisheries Science Center, United States

    1 publications · 40 citations

    1

    h-index

  5. KC
    Kai Cui

    Beijing Institute of Technology, China

    1 publications · 34 citations

    1

    h-index

1–5 of 40

Venues

  1. The Journal of the Acoustical Society of America

    JASA · 4 publications · 219 citations

    4

    h-index

  2. PLoS Computational Biology

    2 publications · 145 citations

    2

    h-index

  3. 1

    h-index

  4. PLoS ONE

    1 publications · 16 citations

    1

    h-index

  5. Journal of Atmospheric and Oceanic Technology

    1 publications · 41 citations

    1

    h-index

1–5