首页> 外文会议>Conference on Videometrics VII, Jan 21-22, 2003, Santa Clara, California, USA >Building Extraction and Modeling in Urban Area by Image Sequence Analysis
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Building Extraction and Modeling in Urban Area by Image Sequence Analysis

机译:基于图像序列分析的市区建筑物提取与建模

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摘要

3D city modeling from airborne imagery includes mainly two parts: (1) image processing procedures and (2) 3D modeling for man-made objects such as buildings, roads and other objects. Line or feature extraction and stereo matching are usually utilized as an image processing procedures, and geometrical data acquisition for man-made objects are performed. However, there are some issues for automatic or semi-automatic man-made object modeling. These problems include uncertainty within matching, extraction of man-made objects and spatial data acquisition. In particular, spatial data acquisition of buildings are important for reliable city modeling. With this objective, this paper focuses especially on efficient and robust line matching method using optical flow, which enable an automatic building extraction since line gives important information for building extraction and satisfied results are depend on rigorous line extraction and matching. Furthermore, building extraction using morphological opening and 3D modeling for urban area are also investigated in this paper.
机译:机载图像的3D城市建模主要包括两个部分:(1)图像处理程序和(2)人造对象(如建筑物,道路和其他对象)的3D建模。通常将线或特征提取和立体匹配用作图像处理过程,并执行人造对象的几何数据采集。但是,自动或半自动人造对象建模存在一些问题。这些问题包括匹配的不确定性,人造物体的提取以及空间数据的获取。尤其是,建筑物的空间数据采集对于可靠的城市建模非常重要。出于这个目的,本文特别关注使用光流的高效且鲁棒的线匹配方法,该方法能够自动提取建筑物,因为线为建筑物提取提供了重要信息,而满意的结果取决于严格的线提取和匹配。此外,本文还研究了使用形态学开放和3D建模对市区进行建筑物提取。

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