Gaussian Fitting Centroiding

Gaussian Fitting Centroiding is a centroid estimation method that belongs to the class of model-based image centroiding techniques, distinguished by its use of nonlinear least-squares optimization to fit a two-dimensional Gaussian function to the intensity distribution of a digital image, thereby determining the central position of a light source with sub-pixel accuracy.

13

Publications

601

Citations

64

Authors

32

Institutions

Publications per year

2017–2026

5

Authors

64

  1. HK
    Hiroyoshi Kawakami

    Tokyo Metropolitan University, Japan

    1 publications · 28 citations

    1

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  2. GZ
    Guangjun Zhang

    Beihang University, China

    1 publications · 54 citations

    1

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  3. WQ
    Wenhai Qin

    Observatoire de Paris, France

    1 publications · 17 citations

    1

    h-index

  4. JB
    Jingyu Bao

    Guangxi University, China

    1 publications · 14 citations

    1

    h-index

  5. HZ
    Haiyang Zhan

    Tsinghua University, China

    1 publications · 14 citations

    1

    h-index

1–5 of 64

Venues

  1. 3

    h-index

  2. 2

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  3. Sensors

    2 publications · 127 citations

    2

    h-index

  4. Acta Astronautica

    1 publications · 14 citations

    1

    h-index

  5. Advances in Space Research

    1 publications · 27 citations

    1

    h-index

1–5