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应用生态学报 ›› 2010, Vol. 21 ›› Issue (05): 1190-1195.

• 第六届全国景观生态学学术研讨会会议专栏 • 上一篇    下一篇

基于Barista软件的高分辨率遥感影像中建筑物3D信息的提取

张培峰1,2;胡远满1**;贺红士1,3   

  1. 1中国科学院沈阳应用生态研究所,沈阳 110016;2中国科学院研究生院,北京 100049;3密苏里大学自然资源学院,美国哥伦比亚 65211
  • 出版日期:2010-05-20 发布日期:2010-05-20

Extraction of buildings three-dimensional information from high-resolution satellite imagery based on Barista software.

ZHANG Pei-feng1,2;HU Yuan-man1;HE Hong-shi1,3   

  1. 1Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China;2Graduate University of Chinese Academy of Sciences, Beijing 100049, China;3School of Natural Resources University of Missouri, Columbia 65211, USA
  • Online:2010-05-20 Published:2010-05-20

摘要: 城市建筑物空间信息的获取对城市规划、环境保护等社会各行业越来越重要,高分辨率商业卫星的出现为提取建筑物3D信息提供了可能性.本文基于Barista软件,利用QuickBird数据提取了建筑物的3D信息并进行了精度验证.结果表明:基于Barista软件从高分辨率卫星影像中提取建筑物3D信息,具有专业水平要求低、普适性强、操作简单、精度高等优点;当数字高程模型(DEM)和传感器定位模型精度较高、影像偏天底角较理想时,3D信息提取的水平定位精度和高度测量精度可达到1个像素水平.

关键词: Barista软件, 高分辨率遥感影像, 3D信息提取, 气候变化, 天然橡胶, 气候适宜性

Abstract: The demand for accurate and up-to-date spatial information of urban buildings is becoming more and more important for urban planning, environmental protection, and other vocations. Today’s commercial high-resolution satellite imagery offers the potential to extract the three-dimensional information of urban buildings. This paper extracted the three-dimensional information of urban buildings from QuickBird imagery, and validated the precision of the extraction based on Barista software. It was shown that the extraction of three-dimensional information of the buildings from high-resolution satellite imagery based on Barista software had the advantages of low professional level demand, powerful universality, simple operation, and high precision. One pixel level of point positioning and height determination accuracy could be achieved if the digital elevation model (DEM) and sensor orientation model had higher precision and the off-Nadir View Angle was relatively perfect.

Key words: Barista software, high-resolution satellite imagery, three-dimensional information extraction, climate change, rubber, climatic suitability