大数据时代测绘保障若干问题思考  

Reflections on Surveying and Mapping Support in the Era of Big Data

作　　者：张跃鹏[1,2] 张德[1,2] 吉国杰[1,2] 柯希林[1,2] 曾军[1,2] 

机构地区：[1]西安测绘研究所,陕西西安710054 [2]地理信息工程国家重点实验室,陕西西安710054

出　　处：《测绘科学与工程》2016年第5期53-55,共3页Geomatics Science and Engineering

摘　　要：测绘保障是典型的大数据相关业务领域，大数据鲜明的技术特征决定了大数据时代测绘保障将发生重大变革。本文从系统构成、信息流程、系统部署、数据挖掘、数据质量、数据模型、标准规范等方面，分析了大数据对测绘保障的影响；认为大数据时代测绘保障系统具有分布式、并行处理、数据驱动、自动化、智能化和开放性等基本特点，其将大大提升测绘保障的整体效率、产品多样性和个性化保障能力。与之相适应的测绘保障体系，需要从体系高度进行设计、规划和建设。Surveying and mapping support is a typical relative field of big data. The distinctive technique characteristics of big data determine that surveying and mapping support will undertake some significant changes in the era of big data. The influ- ences of big data on surveying and mapping support are analyzed in terms of system component, information flow, system deploy- ment, data mining, data quality, data model, standards and specifications. It holds that the surveying and mapping support sys- tem in the era of big data has some basic characteristics, such as distributed, parallel processing, data-drien, automated, intelligent, open and so on. They will evidetly enhance the integrated efficiency, production variability and individual support capability of sur- veying and mapping support. Accordingly, the surveying and mapping support system planned and established systematically.

关 键 词：大数据 测绘保障 数据模型 数据质量 数据挖掘 

分 类 号：P208[天文地球—地图制图学与地理信息工程]