Underwater Object Detection

Underwater Object Detection is a computational task in subsea sensing and underwater perception that involves identifying and localizing objects within underwater environments from sensor data, distinguished by its focus on overcoming challenges such as poor visibility, complex backgrounds, and acoustic or optical distortions inherent to aquatic conditions.

618

Publications

28.8K

Citations

2.2K

Authors

601

Institutions

Publications per year

2017–2026

453

Authors

2.2K

  1. SY
    Son‐Cheol Yu

    Pohang University of Science and Technology, South Korea

    13 publications · 574 citations

    12

    h-index

  2. XF
    Xin Fan

    Dalian University of Technology, China

    9 publications · 1.4K citations

    9

    h-index

  3. PS
    Pinhao Song

    Peking University, China

    7 publications · 697 citations

    7

    h-index

  4. RL
    Risheng Liu

    Dalian University of Technology, China

    7 publications · 1.2K citations

    7

    h-index

  5. HZ
    Huiyu Zhou

    University of Leicester, United Kingdom

    7 publications · 648 citations

    7

    h-index

1–5 of 2.2K

Venues

  1. Journal of Marine Science and Engineering

    33 publications · 1.2K citations

    21

    h-index

  2. Sensors

    24 publications · 989 citations

    19

    h-index

  3. IEEE Access

    19 publications · 1.2K citations

    17

    h-index

  4. Ecological Informatics

    19 publications · 1.2K citations

    17

    h-index

  5. Remote Sensing

    16 publications · 964 citations

    16

    h-index

1–5