Underwater Feature Extraction

Underwater Feature Extraction is a computational process in underwater perception that identifies and isolates distinctive structural or textural patterns from acoustic, optical, or sonar data to enable subsequent analysis, interpretation, or classification of submerged environments.

228

Publications

8K

Citations

711

Authors

251

Institutions

Publications per year

2017–2026

155

Authors

711

  1. MA
    M.R. Azimi-Sadjadi

    Colorado State University, United States

    6 publications · 310 citations

    6

    h-index

  2. YL
    Yuxing Li

    Xi'an University of Technology, China

    5 publications · 190 citations

    5

    h-index

  3. HS
    Haixin Sun

    Xiamen University, China

    4 publications · 102 citations

    4

    h-index

  4. YW
    Yongxian Wang

    National University of Defense Technology, China

    3 publications · 82 citations

    3

    h-index

  5. GL
    Guohui Li

    Xi’an University of Posts and Telecommunications, China

    3 publications · 115 citations

    3

    h-index

1–5 of 711

Venues

  1. Sensors

    9 publications · 360 citations

    11

    h-index

  2. Journal of Marine Science and Engineering

    10 publications · 421 citations

    10

    h-index

  3. IEEE Journal of Oceanic Engineering

    7 publications · 330 citations

    8

    h-index

  4. IEEE Access

    7 publications · 260 citations

    7

    h-index

  5. Applied Acoustics

    6 publications · 413 citations

    6

    h-index

1–5