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基于Google Earth二维影像获取建筑物高度的方法
  • ISSN号:1672-0504
  • 期刊名称:《地理与地理信息科学》
  • 时间:0
  • 分类:TP75[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置]
  • 作者机构:[1]东华理工大学地球科学与测绘工程学院,江西抚州344000
  • 相关基金:国家自然科学基金项目(40401021);地震动力学国家重点实验室开放基金项目(LED506)
中文摘要:

从二维影像中的阴影快速获取建筑物高度是三维数字城市建设中亟待解决的问题。该文提出了一种从Google Earth二维影像获取建筑物高度数据的新方法,利用SketchUp软件模拟光照效果,使三维模型的阴影与二维影像的阴影重合,从而获得建筑物的高度数据,并对如何减小高度数据误差进行了分析。实验结果表明,利用该方法获取的高度数据,可以满足一定的精度要求,而且省时、省力,具有一定的应用价值。

英文摘要:

In this paper,a new method for acquiring the building height from 2D images in Google Eai'th is proposed, based on analysis of the relations between building shadows in 2D images and its real heights. Firstly,the 2D image in which the buildings located was found and downloaded, and was loaded into the SketchUp software. Secondly, 3D model was created by using SketchUp 3D modeling function,the sun location in the sky was simulated according to the time that 2D images were taken so that the shadows was got by the building 3D model. Thirdly,the solar azimuth angle of the 3D building model was adjusted so as to it is coincident with the solar azimuth angle of 2D images. Lastly,the height of 3D model was adjusted so that the shadow of 3D model and 2D images are overlapped completely, then the height of 3D model was measured and the result was the real building height. In addiction,how to reduce the height error resulted by using this technique was also discussed. Case study indicated that the proposed method in this paper can obtain the correct height of buildings in a satisfied accuracy range.

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期刊信息
  • 《地理与地理信息科学》
  • 北大核心期刊(2011版)
  • 主管单位:河北省科学院地理科学研究所
  • 主办单位:河北省科学院地理研究所 北京大学遥感与地理信息系统研究所
  • 主编:
  • 地址:石家庄市长安区西大街94号
  • 邮编:050011
  • 邮箱:dlxxkx@vip.163.com
  • 电话:0311-86054904
  • 国际标准刊号:ISSN:1672-0504
  • 国内统一刊号:ISSN:13-1330/P
  • 邮发代号:18-27
  • 获奖情况:
  • 全国《中文核心期刊要目总览》核心期刊,河北省第六届优秀科技期刊,中国科技论文统计源期刊
  • 国内外数据库收录:
  • 中国中国人文社科核心期刊,中国中国科技核心期刊,中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:16233