Research on Quantitative Expression of Priority for Imaging Satellite Requirements

Abstract

This article conducts a quantitative expression study on the priority of imaging satellite requirements to address the issue of quickly and scientifically sorting user imaging requirements. Firstly, a priority evaluation system for imaging requirements was constructed by comprehensively considering factors such as user level, importance of requirements, observation efficiency, and urgency. Secondly, quantitative indicators were provided for the relative importance of various elements that affect the priority of satellite requirement through expert scoring, and a judgment matrix for the priority evaluation system was established. Finally, the weight coefficient vector of the evaluation system was solved using the principle of minimum square difference. A quantitative expression for imaging satellite requirement priority was constructed based on the weighted sum method. The effectiveness of the quantitative expression for imaging satellite requirement priority was verified through experimental data, effectively solving the problem of imaging requirement selection when satellite resources are insufficient.