[1]黄建军,唐亮,谢维信.基于OAR模型的航空影像高层建筑自动提取[J].深圳大学学报理工版,2005,22(1):1-6.
 HUANG Jian-jun,TANG Liang,and XIE Wei-xin.Automatic extraction of high-rise building from arerial imagery based on OAR model[J].Journal of Shenzhen University Science and Engineering,2005,22(1):1-6.
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基于OAR模型的航空影像高层建筑自动提取()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第22卷
期数:
2005年1期
页码:
1-6
栏目:
光电与信息工程
出版日期:
2005-01-30

文章信息/Info

Title:
Automatic extraction of high-rise building from arerial imagery based on OAR model
文章编号:
1000-2618(2005)01-0001-06
作者:
黄建军1唐亮2谢维信1
1)深圳大学信息工程学院,深圳 518060
2)西安电子科技大学电子工程学院,西安 710071
Author(s):
HUANG Jian-jun1TANG Liang2and XIE Wei-xin1
1)College of Information Engineering Shenzhen University,Shenzhen 518060 P. R. China;
2)School of Electronical Engineering Xidian University, Xi’an 710071 P. R. China.
关键词:
OAR模型建筑物自动提取垂直边缘窗户纹理屋顶轮廓
Keywords:
OAR model automatic building extraction vertical edges window textures roof contour
分类号:
TP 391
文献标志码:
A
摘要:
基于建筑物的OAR模型,建立一种在单视角高分辨率航空影像中自动提取高层建筑物的策略。以建筑物垂直边缘为关键属性,结合窗户纹理和屋顶轮廓直线段属性及它们之间的关系,综合推理出建筑物的位置。实验结果表明,该方法能有效实现高层建筑物的自动提取。
Abstract:
The extraction of building shapes is difficult with traditional modeling and matching algorithms because of their diversities and complexities. In this paper, a strategy for automatic extraction of high-rise building in monocular high-resolution aerial images is developed based on the OAR model of buildings. The vertical edges(as the key attribute), the window textures, line segments of roof contour and their relationships are used to locate the buildings. Experiment results have shown that this proposed model can extract the high-rise buildings automatically and effectively.
更新日期/Last Update: 2015-10-16