Peak estimation based on star map fitting

Honglan Liu

doi:10.1117/12.3033642

13 June 2024 Peak estimation based on star map fitting

Honglan Liu

Proceedings Volume 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024); 131804F (2024) https://doi.org/10.1117/12.3033642
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 2024, Guangzhou, China

Abstract

To address the issue of intensity information loss caused by saturation at the center of starlight spots, this study employs three methods: multiple Gaussian curve fitting, anisotropic Gaussian surface fitting, and two-dimensional cubic spline interpolation, to accurately fit starlight spots. By using the refitted starlight model, the intensity information of the saturated region is estimated. For direct fitting of unsaturated spots, the accuracy of all three methods does not exceed 3%. In occlusion simulation experiments, the two-dimensional spline interpolation fitting method demonstrates higher precision compared to the other two methods. It is noteworthy that the two-dimensional spline interpolation fitting method does not rely on a specific starlight model, making it more versatile and robust.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Honglan Liu "Peak estimation based on star map fitting", Proc. SPIE 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 131804F (13 June 2024); https://doi.org/10.1117/12.3033642

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