上海航天2018，Vol.35Issue(3)：34-40,7.DOI:10.19328/j.cnki.1006-1630.2018.03.006
改进的遥感卫星成像任务单轨最优团划分聚类方法
Improved Clustering Method of Spot Target Based on Best Clique Partition in Single Orbit for Remote Sensing Satellite Imaging
摘要
Abstract
The clustering problem for remote sensing satellite imaging of spot target is studied. An improved clustering method of spot target based on best clique partition in single orbit is proposed. Firstly, the clustering graph model is established according to the clustering constrains, and then the weight matrix P, benefit matrix M, end matrix Nare confirmed by the clustering graph model. Finally, the clustering scheme with maximum benefit is calculated by iterating. Simulation results show that the proposed method can improve the efficiency of spot target observation compared with traditional method, and can be used as a reference for remote sensing satellite autonomous mission planning.关键词
遥感卫星成像/任务规划/点目标/任务聚类/单轨最优/团划分/图模型/改进方法Key words
remote sensing satellite imaging/mission planning/spot target/clustering/best in single orbit/clique partition/graph model/improved method引用本文复制引用
潘耀,饶启龙,池忠明,孙凯鹏,何赟晟..改进的遥感卫星成像任务单轨最优团划分聚类方法[J].上海航天,2018,35(3):34-40,7.基金项目
国家自然科学基金(11602145) （11602145）
