{"title":"三维大数据城市模型构建研究","authors":"Qinggang Sun, Chenglei Liang, Yingze Zhang","doi":"10.1109/ICICTA.2015.175","DOIUrl":null,"url":null,"abstract":"To speed up the visualization of 3D big data city building model, LOD technology optimized by analysis of the linear octree characteristics is proposed in this paper. The technology supports that the remaining node data except leaf nodes were completed in the pre-processing to generate final subdivision of linear octree structure in which each node corresponds to a separate file on the disk. We also use the dynamic view-dependent technology with multi-resolution to accelerate visualization display for big data city building. Our experimental results show that the method can improve the Three-Dimensional Visualization performance, while its details are observed for big data city model building.","PeriodicalId":231694,"journal":{"name":"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on 3D Big Data City Model Building\",\"authors\":\"Qinggang Sun, Chenglei Liang, Yingze Zhang\",\"doi\":\"10.1109/ICICTA.2015.175\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To speed up the visualization of 3D big data city building model, LOD technology optimized by analysis of the linear octree characteristics is proposed in this paper. The technology supports that the remaining node data except leaf nodes were completed in the pre-processing to generate final subdivision of linear octree structure in which each node corresponds to a separate file on the disk. We also use the dynamic view-dependent technology with multi-resolution to accelerate visualization display for big data city building. Our experimental results show that the method can improve the Three-Dimensional Visualization performance, while its details are observed for big data city model building.\",\"PeriodicalId\":231694,\"journal\":{\"name\":\"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)\",\"volume\":\"64 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICTA.2015.175\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICTA.2015.175","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
To speed up the visualization of 3D big data city building model, LOD technology optimized by analysis of the linear octree characteristics is proposed in this paper. The technology supports that the remaining node data except leaf nodes were completed in the pre-processing to generate final subdivision of linear octree structure in which each node corresponds to a separate file on the disk. We also use the dynamic view-dependent technology with multi-resolution to accelerate visualization display for big data city building. Our experimental results show that the method can improve the Three-Dimensional Visualization performance, while its details are observed for big data city model building.