中国科技核心期刊

中文核心期刊

CSCD来源期刊

空间控制技术与应用 ›› 2022, Vol. 48 ›› Issue (5): 47-55.doi: 10.3969/j.issn.1674 1579.2022.05.006

• 论文与报告 • 上一篇    下一篇

基于智能聚类的遥感卫星成像任务自主聚合方法

  

  1. 北京控制工程研究所
  • 出版日期:2022-10-26 发布日期:2022-11-01
  • 基金资助:
    国家自然科学基金资助项目(61803030)

Autonomous Aggregation Method for Imaging Tasks of Observation Satellite Based on Intelligent Clustering

  • Online:2022-10-26 Published:2022-11-01

摘要: 针对遥感卫星多元任务输入造成的局部区域地面目标密集的问题,提出了一种基于智能聚类的遥感卫星成像任务自主聚合方法.该方法采用DBSCAN(density based spatial clustering of applications with noise)智能聚类方法,将局部窗口中待规划任务集合智能划分为多个密集子任务集合,然后根据每个子任务集合的任务密集程度判断任务聚合类型,将密集分散点目标任务聚合为多条带观测任务或者区域观测任务,大幅提高了遥感卫星成像任务的执行效益.仿真试验验证了提出方法的有效性.

关键词: 智能聚类, 遥感卫星, 成像任务, 自主聚合

Abstract: In order to deal with the dense imaging takes of observation satellite, this paper proposes an autonomous aggregation method for imaging tasks of observation satellite based on intelligent clustering. By using DBSCAN intelligent clustering method, the original tasks are clustered into multiple dense subtask sets. The aggregation type of dense subtask set is determined according to the task density, and then the dense scattered tasks are aggregated into multiple strip observation tasks or regional observation tasks. The performance of observation satellite is greatly improved. Finally, a simulation experiment is given to verify the effectiveness of the proposed method.

Key words: intelligent clustering, observation satellite, imaging task, autonomous aggregation

中图分类号: 

  • V44