期刊文献+

基于OAR模型的航空影像高层建筑自动提取

Automatic extraction of high-rise buildingfrom arerial imagery based on OAR model
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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. 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.
出处 《深圳大学学报(理工版)》 EI CAS 北大核心 2005年第1期1-6,共6页 Journal of Shenzhen University(Science and Engineering)
基金 国家自然科学基金资助项目(60172066) 国家863高技术研究发展计划资助项目(2001AA136070)
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 OAR model automatic building extraction vertical edges window textures roof contour
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参考文献14

  • 1MayerH.从航空影像中自动提取物体—建筑物提取综述[J].计算机视觉与图像理解,1999,74(2):138-138.
  • 2FuchsC GulchE FSrstnerW.OEEPE三维城市模型[R](英文版)[R].法兰克福:联邦测绘局,1998..
  • 3NicolinB GablerR.基于知识的航空影像分析系统[J].IEEE地球科学与遥感会刊,1987,25(3):317-329.
  • 4GerkeM HeipkeC StraubBM.基于场景模型和不变几何矩的航空影像建筑物提取[A]..IEEE/ISPRS城市区域遥感与数据融合联合学术会议论文集[C](英文版)[C].罗马:国际摄影几何与遥感学会,2001.85-89.
  • 5LiowYT PavlidisT.用阴影从航空影像中提取建筑物[J].计算机视觉、图形学与图像处理,1990,49(2):242-277.
  • 6ShufeltJA.航空影像中建筑物提取的光学几何方法[A]..光学几何与遥感文集[C](英文版)[C].维也纳:国际摄影几何与遥感学会,1996.74-79.
  • 7McGloneJ ShufeltJA.单视角建筑物提取的投影与物方空间几何[A]..IEEE计算机视觉与模式识别会议论文集[C](英文版)[C].西雅图:国际摄影几何与遥感学会,1994.54-61.
  • 8NoronhaS NevatiaR.多幅航空影像的建筑物检测与建模[J].IEEE模式分析与机器智能会刊,2001,23(5):501-518.
  • 9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
  • 10CohenL.时频分析:理论和应用[M](英文版)[M].纽约:普林西斯出版社,1995..

二级参考文献11

  • 1JIllingworth,JKittler. A survey of hough transform[J].Computer Vision Graphics Image Processing, 1988,44:87-116.
  • 2L Xu, E Oja, P Kultanen. A new curve detection method: Randomized hough transform[J]. Pattern Recognition Letters, 1990,11:331-338.
  • 3R Cucchiara, F Filicori. The vector-gradient hough transform[J] .IEEE Trans. Pattern Analysis and Machine Intelligence, 1998,20(7): 746-750.
  • 4T M Van Veen,F C A Groen. Diseretization errors in the hough transform[J]. Pattern Recognition, 1981,14:137-145.
  • 5J Illingworth, J Kittler. The adaptive hough transform[J]. IEEE Trans Pattern Analysis and Machine Intelligence, 1987,9(5):690- 697.
  • 6J H Han, L T Koczy, T Poston. Fuzzy hough transform[J]. Pattern Recognition Letters, 1994,15:649-658.
  • 7V Chatzis, 1 Pitas. Fuzzy cell hough transform for curve detection[J].Pattern Recognition, 1997,30(12):2031-2042.
  • 8S Y K Yuen, T S L lam, N K D Leeng. Connective hough transform[J]. Image and Vision Computing, 1993,11:295-301.
  • 9M C K Yang,J -S Lee, C -C Lien, C L Huang. Hough transform modified by line connectivity and line thickness[J]. IEEE Trans. Pattern Analysis and Machine Intelligence, 1997,19(8):905-910.
  • 10G G erig. Linking image-space and accumulator-space: A new approach for object-recognition[A]. IEEE First Intemaltional Conference on Computer Vision[ C]. London, Eugland:IEEE Compute Society Press,June, 1987.112-117.

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