Runway Detection

Runway Detection is a computer vision task that involves identifying and localizing the intended landing strip within an image or video stream, distinguishing it from other ground features through its geometric, contextual, and spectral characteristics for autonomous aircraft landing systems.

77

Publications

1.9K

Citations

212

Authors

87

Institutions

Publications per year

2017–2026

35

Authors

212

  1. LZ
    Lei Zhang

    Aviation Industry Corporation of China (China), China

    3 publications · 60 citations

    3

    h-index

  2. DR
    Denise R. Jones

    Langley Research Center, United States

    3 publications · 117 citations

    3

    h-index

  3. ZZ
    Zhengjun Zhai

    Northwestern Polytechnical University, China

    3 publications · 60 citations

    3

    h-index

  4. LH
    Lang He

    Xi’an University of Posts and Telecommunications, China

    2 publications · 44 citations

    2

    h-index

  5. XJ
    Xing Jin

    Newcastle University, United Kingdom

    2 publications · 49 citations

    2

    h-index

1–5 of 212

Venues

  1. IEEE Access

    4 publications · 71 citations

    4

    h-index

  2. 4

    h-index

  3. Sensors

    3 publications · 70 citations

    3

    h-index

  4. Remote Sensing

    3 publications · 58 citations

    3

    h-index

  5. IEEE Geoscience and Remote Sensing Letters

    GRSL · 3 publications · 186 citations

    3

    h-index

1–5