摘要
随着空间探测技术发展和数据获取手段进步,多源时空数据成为数字化、智慧化新型城镇建设的基础。针对城镇化所需的矢量、栅格、点云、传感器等多源时空数据存在格式、尺度、时相、精度、数学模型、空间基准、现势性等不协调统一的问题,本文以Java体系结构为基础,利用Spring Boot作为整体框架设计研发了一套城镇多源时空数据规范化处理系统,包含矢量信息、遥感影像、三维点云数据、传感器类数据处理,可将多种时空数据在空间和时间上的冗余或互补信息整合,形成城镇全域一致的、规范的时空数据成果。应用结果表明,该系统有效提高了城镇多源时空数据质量检查与规范化处理工作效率,具有较好的可行性和实用性,可为新型城镇化建设提供相应的技术支持。
With the development of space exploration technology and the progress of data acquisition methods,multi-source spatio-temporal data has become the basis of the digital and intelligent new urban construction.In view of the disharmony of format,scale,phase,accuracy,mathematical model,spatial datum and current potential of multi-source spatio-temporal data such as vector,raster,point cloud and sensor required for urbanization,this paper designed and developed a set of urban multi-source spatio-temporal data processing system based on Java architecture and using Spring Boot as the overall development framework which contains the vector information,remote sensing image,three-dimensional point cloud data,sensor data processing capabilities.It can integrate the redundant or complementary information of various spatio-temporal data in space and time to form the consistent and standardized spatio-temporal data of cities and towns in the whole region.The application results show that the system can effectively improve the efficiency of urban multi-source spatio-temporal data quality inspection and standardized processing,It has good feasibility and practicability,which can provide corresponding technical support for the construction of new urbanization.
作者
傅开鸿
李朝奎
吴柏燕
武凯华
FU Kaihong;LI Chaokui;WU Baiyan;WU Kaihua(National and Local Joint Engineering Laboratory of Geospatial Information Technology,Hunan University of Science and Technology,Xiangtan 411201,China;Hunan Province Key Laboratory of Surveying and mapping Remote Sensing Information Engineering,Hunan University of Science and Technology,Xiangtan 411201,China)
出处
《地理信息世界》
2021年第6期1-4,共4页
Geomatics World
基金
国家重点研发计划(2018YFB0505401)
湖南省科技计划项目(2018GK2015)
湖南省自然科学基金创新群体项目(2020JJ1003)。
关键词
城镇化
多源时空数据
数据规范化处理
系统研发
urbanization
multi-source spatio-temporal data
data normalization processing
system development
