航天器工程2025，Vol.34Issue(5)：18-28,11.DOI:10.3969/j.issn.1673-8748.2025.05.003
应用蚁群算法的高轨光学遥感卫星多目标成像任务规划方法
Multi-target Imaging Task Planning Method for High-orbit Optical Remote Sensing Satellite Using Ant Colony Algorithm
潘俊峰 1崔丽萍 2蔡达 1张宏杰 1张英辉1
作者信息
- 1. 中国空间技术研究院遥感卫星总体部,北京 100094
- 2. 北京空间飞行器总体设计部,北京 100094
- 折叠
摘要
Abstract
In response to the problem of low efficiency caused by extensive time and energy con-sumption due to frequent attitude maneuvers when high-orbit optical remote sensing satellite per-forms multi-target imaging tasks,a multi-target imaging task planning method using the ant co-lony algorithm is proposed.This method reorders the imaging sequence of multi-target to achieve a more reasonable sequence,thereby reducing large-angle back-and-forth swings of the satellite.As a result,the total attitude adjustment of the satellite is reduced,the task execution time is shortened,energy consumption is decreased,and the in-orbit application efficiency of the satellite is improved.The planning method is validated using imaging tasks for 10 cities.The results show that both the attitude adjustment angle and the attitude adjustment time required for the satellite to complete the imaging tasks are significantly reduced.This method can be applied to multi-target imaging task planning for high-orbit optical remote sensing satellite.关键词
高轨光学遥感卫星/多目标成像/蚁群算法/成像任务优化Key words
high-orbit optical remote sensing satellite/multi-target imaging/ant colony algorithm/imaging task optimization引用本文复制引用
潘俊峰,崔丽萍,蔡达,张宏杰,张英辉..应用蚁群算法的高轨光学遥感卫星多目标成像任务规划方法[J].航天器工程,2025,34(5):18-28,11.
