Yuqi Wang, Haiqiang Wang, Dan Liu, Xu Zhang, Xi Zhong, Xiaodong Han
{"title":"一种新的遥感卫星任务规划方法","authors":"Yuqi Wang, Haiqiang Wang, Dan Liu, Xu Zhang, Xi Zhong, Xiaodong Han","doi":"10.1109/ICCCS52626.2021.9449173","DOIUrl":null,"url":null,"abstract":"For remote sensing mission planning problem, we establish the discretization of the mission planning model. We put forward disjoint set segmentation method of remote sensing satellite mission planning. We use disjoint set segmentation algorithm to segment large-scale problem of mission planning into several subproblems. At the same time, we improve the solving efficiency and guarantee the solving quality. The simulation results show that compared with the traditional mixed integer programming algorithm, the method based on disjoint set segmentation shows good practicability and optimization effect. The method can reduce the solving time of the model by about 50%.","PeriodicalId":376290,"journal":{"name":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Novel Mission Planning Method for Remote Sensing Satellite\",\"authors\":\"Yuqi Wang, Haiqiang Wang, Dan Liu, Xu Zhang, Xi Zhong, Xiaodong Han\",\"doi\":\"10.1109/ICCCS52626.2021.9449173\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For remote sensing mission planning problem, we establish the discretization of the mission planning model. We put forward disjoint set segmentation method of remote sensing satellite mission planning. We use disjoint set segmentation algorithm to segment large-scale problem of mission planning into several subproblems. At the same time, we improve the solving efficiency and guarantee the solving quality. The simulation results show that compared with the traditional mixed integer programming algorithm, the method based on disjoint set segmentation shows good practicability and optimization effect. The method can reduce the solving time of the model by about 50%.\",\"PeriodicalId\":376290,\"journal\":{\"name\":\"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCS52626.2021.9449173\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCS52626.2021.9449173","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Novel Mission Planning Method for Remote Sensing Satellite
For remote sensing mission planning problem, we establish the discretization of the mission planning model. We put forward disjoint set segmentation method of remote sensing satellite mission planning. We use disjoint set segmentation algorithm to segment large-scale problem of mission planning into several subproblems. At the same time, we improve the solving efficiency and guarantee the solving quality. The simulation results show that compared with the traditional mixed integer programming algorithm, the method based on disjoint set segmentation shows good practicability and optimization effect. The method can reduce the solving time of the model by about 50%.