An improved method of relative photometry of supersaturation probe images

CN122156099APending Publication Date: 2026-06-05AEROSPACE INFORMATION TECH UNIV +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
AEROSPACE INFORMATION TECH UNIV
Filing Date
2026-02-11
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

When dealing with the oversaturation phenomenon of bright stars or space targets, the classical relative photometric model leads to the estimation bias of apparent star magnitude, and existing methods such as saturation star elimination or linear extrapolation have problems such as data loss or large errors.

Method used

A point spread function model based on saturation truncation is established, and the optimal model parameters are calculated through an iterative optimization algorithm. A relative photometric improvement model is then constructed to achieve apparent magnitude estimation for oversaturated detection images.

Benefits of technology

It significantly improves the accuracy of apparent magnitude estimation for oversaturated probe images, effectively eliminates the systematic bias of the classical relative photometry model, and enables accurate photometric measurement of bright stars or space targets.

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Abstract

The application discloses a relative photometry improvement method for an oversaturated detection image, belongs to the technical field of astronomical image photometry, and aims at solving the problem that the nonlinear truncation of the observed light flux is caused by the oversaturation of the gray value of a star in an existing astronomical image, and the systematic deviation exists in a classical relative photometry model in a star apparent magnitude estimation method. The method comprises the following steps: based on a point spread function model of saturation truncation, a mathematical relationship between the total light flux of a star and the observed light flux of the star in an astronomical oversaturated detection image is established; according to the mathematical relationship, a relative photometry improvement model is established; based on the observed light fluxes of a plurality of known stars and corresponding reference apparent magnitudes, an iterative optimization algorithm is adopted to iteratively optimize the relative photometry improvement model, and the optimal model parameter in the model is solved; and based on the optimal model parameter and the observed light flux of a target to be measured, the apparent magnitude estimation value of the target in the astronomical oversaturated detection image is obtained through the relative photometry improvement model.
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