{"title":"Study on the Organization and Storage of Remote Sensing Data Oriented to Visualization Management","authors":"Haijun Yu, Shengyang Li, Zhang Tao","doi":"10.22323/1.300.0025","DOIUrl":"https://doi.org/10.22323/1.300.0025","url":null,"abstract":"Aiming at the management problems of growing multi-source and heterogeneous remote sensing data, this paper studies and realizes the organization and storage method of mass remote sensing data on the basis of analysing the data characteristics. The metadata storage technology is used to realize the unified storage and fast retrieval of mass and multi-resolution remote sensing data information. Through the pre-calculation of the spatial attributes of remote sensing data, the management convenience can be improved. The multi-resolution pyramid model and its storage technology are used to improve the efficiency of remote sensing data reading and visual display, and optimize the operability and visual experience of data management. Finally, the method is applied to the remote sensing data visualization management system based on three-dimensional virtual globe, which to realize the efficient management of multi-load and multi-spectrum remote sensing data as taken by Tiangong-1 aircraft and Tiangong-2 aircraft, and thus satisfy the actual task requirements of the users.","PeriodicalId":137909,"journal":{"name":"Proceedings of Information Science and Cloud Computing — PoS(ISCC 2017)","volume":"111 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128767387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Youzhi Jin, Jianhua Fan, Jie Yang, Jiawei Li, Deliang Fan
{"title":"The Application Research of Cellular Genetic Algorithm in Vehicle Routing Problem","authors":"Youzhi Jin, Jianhua Fan, Jie Yang, Jiawei Li, Deliang Fan","doi":"10.22323/1.300.0012","DOIUrl":"https://doi.org/10.22323/1.300.0012","url":null,"abstract":"In order to solve the Distance-constrained Capacitated Vehicle Routing Problem ( Distance-constrained CVRP ), the cellular genetic algorithm(CGA) is used in this paper. A new crossover operator--SAX which can better reflect the self-adaptability of CGA is proposed, and three types of neighborhood are introduced to analyse the search performance of CGA in Distance- constrained CVRP. Two instances are introduced to show the feasibility of CGA in solving Distance-constrained CVRP. The experimental results show that the performance of CGA is obviously better than that of the traditional genetic algorithm, and the optimization results of the vehicle routings are improved. Especially, the Moore neighbor structure indicates better search efficiency for SAX crossover operator. Because of the strong searching ability, CGA can effectively solve the optimization of vehicle routing problems.","PeriodicalId":137909,"journal":{"name":"Proceedings of Information Science and Cloud Computing — PoS(ISCC 2017)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128094735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}