{"title":"基于MPI + CUDA的遥感卫星数据预处理通用系统研究","authors":"Xin Wang, RenZhong Yang, Xinzhu Liu","doi":"10.1109/ICGMRS55602.2022.9849313","DOIUrl":null,"url":null,"abstract":"Aiming at the shortcomings of the existing remote sensing satellite data preprocessing system, such as slow speed, weak universality, poor scalability, weak automation and unfriendly interface, a visual and self customized general system for remote sensing satellite data preprocessing process based on MPI + CUDA is designed. Based on MPI + GPU, CUDA technology is used to realize the accelerated processing of various services in two levels in parallel, Greatly improve the system processing efficiency. A three-tier system architecture is adopted to solve the problem of dense coupling of the original system. The business modules of the data layer are implemented based on WCF (Windows communication foundation) to improve the scalability and portability of the system. Automatic preprocessing of satellite data based on WWF (Windows workflow foudation). The visual editing of processing flow is realized through WPF (Windows Presentation Foundation), which provides users with a friendly interactive interface.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on General System of Remote Sensing Satellite Data Preprocessing Based on MPI + CUDA\",\"authors\":\"Xin Wang, RenZhong Yang, Xinzhu Liu\",\"doi\":\"10.1109/ICGMRS55602.2022.9849313\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at the shortcomings of the existing remote sensing satellite data preprocessing system, such as slow speed, weak universality, poor scalability, weak automation and unfriendly interface, a visual and self customized general system for remote sensing satellite data preprocessing process based on MPI + CUDA is designed. Based on MPI + GPU, CUDA technology is used to realize the accelerated processing of various services in two levels in parallel, Greatly improve the system processing efficiency. A three-tier system architecture is adopted to solve the problem of dense coupling of the original system. The business modules of the data layer are implemented based on WCF (Windows communication foundation) to improve the scalability and portability of the system. Automatic preprocessing of satellite data based on WWF (Windows workflow foudation). The visual editing of processing flow is realized through WPF (Windows Presentation Foundation), which provides users with a friendly interactive interface.\",\"PeriodicalId\":129909,\"journal\":{\"name\":\"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICGMRS55602.2022.9849313\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICGMRS55602.2022.9849313","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on General System of Remote Sensing Satellite Data Preprocessing Based on MPI + CUDA
Aiming at the shortcomings of the existing remote sensing satellite data preprocessing system, such as slow speed, weak universality, poor scalability, weak automation and unfriendly interface, a visual and self customized general system for remote sensing satellite data preprocessing process based on MPI + CUDA is designed. Based on MPI + GPU, CUDA technology is used to realize the accelerated processing of various services in two levels in parallel, Greatly improve the system processing efficiency. A three-tier system architecture is adopted to solve the problem of dense coupling of the original system. The business modules of the data layer are implemented based on WCF (Windows communication foundation) to improve the scalability and portability of the system. Automatic preprocessing of satellite data based on WWF (Windows workflow foudation). The visual editing of processing flow is realized through WPF (Windows Presentation Foundation), which provides users with a friendly interactive interface.