Ground-truth-based Calibration

Ground-Truth-Based Calibration is a radar calibration methodology that belongs to the class of empirical calibration techniques, distinguished by its reliance on independently measured, high-accuracy reference data—representing the true physical properties of the observed target or environment—to adjust and validate radar system parameters, thereby minimizing measurement bias and ensuring quantitative fidelity in remote sensing observations.

34

Publications

907

Citations

254

Authors

64

Institutions

Publications per year

2017–2026

16

Authors

254

  1. FZ
    Fan Zhang

    Chinese Academy of Sciences, China

    2 publications · 41 citations

    2

    h-index

  2. YL
    Yaqing Liu

    Chinese Academy of Sciences, China

    1 publications · 20 citations

    1

    h-index

  3. XL
    Xufang Li

    University of Chinese Academy of Sciences, China

    1 publications · 21 citations

    1

    h-index

  4. SH
    Song Han

    Massachusetts Institute of Technology, United States

    1 publications · 25 citations

    1

    h-index

  5. FL
    F. Lazzarotto

    National Institute for Astrophysics, Italy

    1 publications · 15 citations

    1

    h-index

1–5 of 254

Venues