期刊文献+

基于物方几何约束提取建筑物垂直边缘

A Method for Extracting Vertical Lines of Buildings Based on Geometric Information of Object Space
下载PDF
导出
摘要 航空影像中 ,垂直边缘对建筑物提取具有重要意义。为快速准确地提取垂直边缘 ,依据航空摄影测量学的有关知识 ,利用摄影测量成像模型推导出垂直边缘灭点位置 ,并结合物方空间几何约束和图像空间边缘信息 ,采用一种自适应模糊 Hough变换算法 ,实现了建筑物垂直边缘的自动提取。实验证明 ,该算法是行之有效的。 In aerial images, vertical line is of significant use for building extraction, which provides not only the key and reliable evidence for building existence, but also the height of buildings. In this paper, in order to extract vertical lines, a simple method for determining the vanishing point of vertical lines is first analyzed based on the knowledge about the aerial photogrammetry. It is demonstrated that, suppose the imaging plane in aerophotograph is approximately parallel with the horizontal plane, the central point of an aerial image is approximate to the vanishing point of vertical lines. This information provides a geometrical constraint for vertical line extraction in object space and makes the automatic extraction of vertical lines very straightforward and simple. Second, in order to improve the efficiency and precision of line detection and to acquire the complete description of vertical lines (e.g. line parameters, pixel positions, and length etc.), the adaptive fuzzy Hough transform, which combines the geometrical constraint in object space and gradient orientation information in image space adequately to achieve an excellent performance, is adopted to extract vertical lines automatically. Lastly, the Experimental results are given to indicate that the presented algorithm is effective and efficient for real\|time applications, and provides a key evidence and clue for automatic building extraction from aerial images.
出处 《中国图象图形学报(A辑)》 CSCD 北大核心 2004年第9期1049-1054,共6页 Journal of Image and Graphics
基金 国家自然基金项目 (60 172 0 66) 国家"863"计划项目 (2 0 0 1AA13 60 70 )
关键词 几何约束 边缘信息 HOUGH变换 自动提取 算法 自适应 灭点 垂直 空间几何 准确 vertical lines, photogrammetry, vanishing point, adaptive fuzzy Hough transform
  • 相关文献

参考文献9

  • 1Fuchs C, Gtilch E, Forstner W. OEEPE survey on 3D-city models[,A]. In.. Bundesamt fu Kartographie und Geodasie[C],Frankfurt, Germany:OEEPE Official Publication, 1998, (35) :9-123.
  • 2Mayer H. Automatic object extraction from aerial imagery-A survey focusing on buildings [J]. Computer Vision and Image Understanding, 1999, 74(2) : 138-149.
  • 3Shufelt J A. Performance evaluation and analysis of monocular building extraction from aerial imagery[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1999, 21(4): 311-326.
  • 4McGlone J, Shufelt J A. Projective and object space geometry for monocular building extraction[A]. In.. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition [C],Seattle, Wash. USA, IEEE Press, 1994: 54-61.
  • 5Shufelt J A. Exploiting photogrammetric methods for building extraction in aerial images [J]. International Archives of Photogrammetry and Remote Sensing, 1996, 31 (B6/S):74-79.
  • 6Noronha S, Nevatia R. Detection and modeling of buildings from multiple aerial images [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001, 23(5):501-518.
  • 7张祖勋,张剑清,胡翔云.基于物方空间几何约束最小二乘匹配的建筑物半自动提取方法[J].武汉大学学报(信息科学版),2001,26(4):290-295. 被引量:16
  • 8唐亮,谢维信,黄建军,黄敬雄.自适应模糊Hough变换[J].电子学报,2004,32(6):946-949. 被引量:24
  • 9Illingworth J, Kittler J. A survey of Hough transform [J].Computer Vision, Graphics, and Image Processing, 1988,44(1): 87-116.

二级参考文献21

  • 1於宗俦 于正林.测量平差原理[M].北京:测绘出版社,1990.30-35.
  • 2徐芳.航空影像基于角点检测的房屋半自动提取:学位论文[M].武汉:武汉测绘科技大学,1998..
  • 3刘少创.协同论航空遥感影像理解:学位论文[M].武汉:武汉测绘科技大学,1998..
  • 4刘少创,学位论文,1998年
  • 5徐芳,学位论文,1998年
  • 6Gruen A,Int Archives of Photogrammetry and Remote Sensing,1996年,31卷,B3期,266页
  • 7张祖勋,数字摄影测量学,1996年
  • 8於宗俦,测量平差原理,1990年
  • 9JIllingworth,JKittler. A survey of hough transform[J].Computer Vision Graphics Image Processing, 1988,44:87-116.
  • 10L Xu, E Oja, P Kultanen. A new curve detection method: Randomized hough transform[J]. Pattern Recognition Letters, 1990,11:331-338.

共引文献37

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部