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http://dx.doi.org/10.7780/kjrs.2003.19.2.159

Building Roof Reconstruction in Remote Sensing Image using Line Segment Extraction and Grouping  

예철수 (극동대학교 정보통신학부)
전승헌 (서강대학교 전자공학과)
이호영 (서강대학교 전자공학과)
이쾌희 (서강대학교 전자공학과)
Publication Information
Korean Journal of Remote Sensing / v.19, no.2, 2003 , pp. 159-169 More about this Journal
Abstract
This paper presents a method for automatic 3-d building reconstruction using high resolution aerial imagery. First, by using edge preserving filtering, noise is eliminated and then images are segmented by watershed algorithm, which preserves location of edge pixels. To extract line segments between control points from boundary of each region, we calculate curvature of each pixel on the boundary and then find the control points. Line segment linking is performed according to direction and length of line segments and the location of line segments is adjusted using gradient magnitudes of all pixels of the line segment. Coplanar grouping and pplygonal patch formation are performed per region by selecting 3-d line segments that are matched using epipolar geometry and flight information. The algorithm has been applied to high resolution aerial images and the results show accurate 3D building reconstruction.
Keywords
Edge Preserving Filtering; Watershed Algorithm; Coplanar Grouping;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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