从几何计算到特征提取的广义测量数据处理  

Generalized Surveying Data Processing:From Geometric Parameters Calculation to Feature Information Extraction

作　　者：李清泉[1,2,3,4] 汪驰升 熊思婷[4] 张德津 邹勤[5] 涂伟[1,2,3] LI Qingquan;WANG Chisheng;XIONG Siting;ZHANG Dejin;ZOU Qin;TU Wei(Guangdong Key Laboratory of Urban Informatics,Shenzhen University,Shenzhen 518061,China;Key Laboratory for Geo-Environmental Monitoring of Great Bay Area,MNR,Shenzhen University,Shenzhen 518061,China;Shenzhen Key Laboratory of Spatial Smart Sensing and Services,Shenzhen University,Shenzhen 518061,China;Guangdong Laboratory of Artificial Intelligence and Digital Economy(SZ),Shenzhen 518061,China;School of Computer Science,Wuhan University,Wuhan 430072,China)

机构地区：[1]深圳大学广东省城市空间信息工程重点实验室,广东深圳518061 [2]深圳大学自然资源部大湾区地理环境监测重点实验室,广东深圳518061 [3]深圳大学深圳市空间信息智能感知与服务重点实验室,广东深圳518061 [4]人工智能与数字经济广东省实验室,广东深圳518061 [5]武汉大学计算机学院,湖北武汉430072

出　　处：《武汉大学学报（信息科学版）》2022年第11期1805-1814,共10页Geomatics and Information Science of Wuhan University

基　　金：国家自然科学基金(U1934215,71961137003,41974006);深圳市科创委研究项目(RCYX20210706092140076)。

摘　　要：当前,传感器技术、计算机技术和机器人技术迅猛发展,多传感器集成化、智能化趋势越来越明显。工程测量已向自动化、动态化、智能化方向发展,广泛用于大型桥梁、水利枢纽、高铁地铁、高速公路等工程的高精度测量,以及航天、航空、智能制造等领域的精密工业测量。应用领域的拓展也给测量任务提出了新的要求,测量数据处理不再局限于传统的纯几何参数估计,而是逐渐拓展到几何参数和特征信息兼具的广义测量数据处理。回顾了从经典测量数据处理到广义测量数据处理的发展过程,总结多类测量数据的处理分析逻辑,提出大数据时代下的测量数据处理面临的挑战。阐述了广义测量数据处理的基本思路和策略,并以典型案例来进行说明。With the rapid development of technologies in sensor, computer and robotics, the trends of multi-sensor integration and intelligent applications are shown in surveying field. Engineering surveying has developed in the direction of automation, dynamism and intelligence, and is widely used for high-precision measurement of large bridges,water conservancy hubs,high-speed rail subways, highways and other projects,as well as precision industrial measurement in aerospace, aviation, intelligent manufacturing and other fields. The expansion of application fields also puts forward new requirements for surveying tasks.The surveying data processing is no longer limited to the traditional pure geometric parameter estimation,but gradually expands to the generalized measurement data processing with both geometric parameters and feature information. We review the development process from classical measurement data processing to generalized measurement data processing, summarize the processing and analysis logic of multiple types of measurement data, and present the challenges of measurement data processing in the era of big data. The basic ideas and strategies of generalized measurement data processing are elaborated and illustrated with several typical cases.

关 键 词：工程测量 大数据 广义测量 数据处理 几何计算 特征提取 

分 类 号：P208[天文地球—地图制图学与地理信息工程]