基于分解组合法的三维景观网络共享

doi:10.11772/j.issn.1001-9081.2015.10.3013

计算机应用 ›› 2015, Vol. 35 ›› Issue (10): 3013-3016.DOI: 10.11772/j.issn.1001-9081.2015.10.3013

• 行业与领域应用 • 上一篇

基于分解组合法的三维景观网络共享

曾文华

浙江大学地理信息科学研究所, 杭州 310028

收稿日期:2015-05-27 修回日期:2015-07-06 出版日期:2015-10-10 发布日期:2015-10-14
通讯作者: 曾文华(1976-),男,浙江建德人,教授级高工,硕士研究生,主要研究方向:地图学、地理信息系统、地理空间数据交换和共享,mapz@sohu.com
基金资助:
地理空间信息工程国家测绘地理信息局重点实验室经费资助项目(201411)。

3D geoinformation network sharing based on decomposition and combination method

ZENG Wenhua

Institute of Geographic Information Science, Zhejiang University, Hangzhou Zhejiang 310028, China

Received:2015-05-27 Revised:2015-07-06 Online:2015-10-10 Published:2015-10-14

摘要/Abstract

摘要： 各地的数字城市建设积累了大量城镇区域的三维景观数据,但因为采用的标准规范、技术路线不同,之间不能互相共享和应用而成为"信息孤岛"。针对社会、公众三维景观网络在线共享的需求,分析三维景观数据内容、数据组织等标准规范和共享要求,比较二维、三维地理信息数据共享模式和集成机制,研究三维景观在线发布技术,提出基于分解组合法的跨地区三维景观在线共享的基本思路和技术路线,通过将三维信息在服务端分解为地形、影像、模型等组成单元,利用标准的地理信息服务发布,在客户端利用HTML5实现三维信息的组合和表达。通过省、市、县三级的共享实验表明,该方法对现有三维景观成果进行少量的改造就能够有效地实现共享。

关键词: 三维地理信息, 三维景观, 分解, 组合, 在线共享

Abstract: People have accumulated a large number of 3D landscape data during the construction of digital city. 3D landscape application becomes "island of information" because of the difference of its standard criteria and technical route. Aiming at the public demand of 3D landscape online sharing, the standard of 3D landscape data's content and organization and sharing requirements were analyzed. Second, the research on the network sharing technique was conducted through comparing the sharing and integration mechanism between 2D and 3D geographic data. At last, the ideas and technical route of trans-regional 3D landscape online sharing based on decomposition and combination method were presented. This approach decomposed 3D information into various components such as terrain, image, model, etc. It used standard geographic information service and implemented construction and visualization of 3D information with HTML5 on the client. The simulation results demonstrate that this proposed method can effectively restructure 3D landscape model, and realize resource sharing among province, city and county with a little change.

Key words: 3D geographic information, 3D landscape, decomposition, combination, network sharing

中图分类号:

TP393.09

曾文华. 基于分解组合法的三维景观网络共享[J]. 计算机应用, 2015, 35(10): 3013-3016.

ZENG Wenhua. 3D geoinformation network sharing based on decomposition and combination method[J]. Journal of Computer Applications, 2015, 35(10): 3013-3016.

参考文献

[1] LI D, LIU Q, ZHU Q. An integrated representation of outdoor and indoor in CyberCity GIS[J]. Geomatics and Information Science of Wuhan University,2003,28(3):253-258.(李德仁,刘强,朱庆.数码城市GIS中建筑物室外与室内三维一体化表示与漫游[J]. 武汉大学学报:信息科学版,2003,28(3):253-258.)
[2] GONG J, CHEN J, XIANG L, et al. GeoGlobe: GEO-spatial information sharing platform as open virtual earth[J]. Acta Geodaetica et Cartographica Sinica,2010,29(6):551-553. (龚健雅,陈静,向隆刚,等.开放式虚拟地球集成共享平台GeoGlobe[J].测绘学报,2010,29(6):551-553.)
[3] National Administration of Surveying,Mapping and Geoinfomation. CH/T 9015-2012 Specifications for the digital products of three-dimensional model on geographic information[S]. Beijing:Surveying and Mapping Press,2012:3-14. (国家测绘地理信息局.CH/T 9015-2012三维地理信息模型数据产品规范[S].北京:测绘出版社,2012:3-14.)
[4] National Administration of Surveying,Mapping and Geoinfomation. CH/T 9016-2012 Specifications for the producing of three-dimensional model on geographic information[S]. Beijing:Surveying and Mapping Press,2012:1-7. (国家测绘地理信息局.CH/T 9016-2012三维地理信息模型生产规范[S]. 北京:测绘出版社,2012:1-7.)
[5] National Administration of Surveying, Mapping and Geoinfomation. CH/T 9017-2012 Specifications for the database of three-dimensional model on geographic information[S]. Beijing:Surveying and Mapping Press,2012:2-8.(国家测绘地理信息局.CH/T 9017-2012三维地理信息模型数据库规范[S]. 北京: 测绘出版社,2012:2-8.)
[6] LI T, ZHANG Z. Research on three-dimensional WebGIS system structure based on World Wind[J]. Coal Technology,2010,29(10):153-155. (李涛,张志刚.基于World Wind的三维WebGIS结构研究[J].煤炭技术,2010,29(10):153-155.)
[7] ZHOU N, ZHANG J. Research on 3D city models' representation with CityGML[J]. Engineering of Surveying and Mapping,2010, 19(4):50-55. (周宁,张军.基于CityGML的城市三维模型的描述方法[J].测绘工程,2010, 19(4):50-55.)
[8] JI Y, SHI S, ZHANG C, et al. Study of 3D spatial data interoperability on basis of city GML coding standard and W3DS[J]. Coal Technology,2009,28(11):109-111. (吉云松,史胜辉,张弛,等.基于CityGML和W3DS的分布式三维空间数据共享案例研究[J].煤炭技术,2009,28(11):109-111.)
[9] XIE Q, ZHANG L, REN H, et al. Optimization design of complex system based on target cascading method[J]. Computer Aided Engineering,2013, 22(S2):138-144. (谢秋慧,张琳,任鸿频,等.基于目标分解方法的复杂系统优化设计[J].计算机辅助工程,2013, 22(增刊2):138-144.)
[10] OGC Standards[EB/OL].[2015-02-02].http://www.opengeospatial.org/standards/is.
[11] OUYANG H, SUN J. Technical discussion on environment construction in HTML5-based three dimensional geographical information platform[J]. Surveying and Mapping,2013,36(3):102-103,128. (欧阳洪原,孙敬杰.基于HTML5的三维地理信息平台环境搭建技术探讨[J].测绘,2013,36(3):102-103,128.)
[12] DIRKSEN J, LI P. Learning Three.js: the JavaScript 3D library for WebGL[M]. Beijing:China Machine Press,2015:143-147.(DIRKSEN J,李鹏程.Three.js开发指南[M].北京:机械工业出版社,2015:143-147.)

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基于分解组合法的三维景观网络共享

3D geoinformation network sharing based on decomposition and combination method

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