Image-based Atmospheric Correction

Image-Based Atmospheric Correction is an atmospheric correction method that derives its calibration parameters solely from the spectral and spatial information within the image itself, without reliance on external radiative transfer models or ancillary atmospheric data.

128

Publications

8.9K

Citations

464

Authors

198

Institutions

Publications per year

2017–2026

33

Authors

464

  1. LT
    Liqiao Tian

    Wuhan University, China

    4 publications · 74 citations

    5

    h-index

  2. DH
    Diofantos Hadjimitsis

    Cyprus University of Technology, Cyprus

    5 publications · 219 citations

    5

    h-index

  3. LF
    Lian Feng

    Southern University of Science and Technology, China

    3 publications · 130 citations

    4

    h-index

  4. XC
    Xiaoling Chen

    State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, China

    3 publications · 61 citations

    3

    h-index

  5. JL
    Jianqiang Liu

    National Satellite Ocean Application Service, China

    2 publications · 29 citations

    3

    h-index

1–5 of 464

Venues

  1. Remote Sensing of Environment

    12 publications · 1.7K citations

    12

    h-index

  2. International Journal of Remote Sensing

    14 publications · 1K citations

    12

    h-index

  3. Remote Sensing

    11 publications · 394 citations

    11

    h-index

  4. 6

    h-index

  5. 4

    h-index

1–5