Automated reconstruction of urban house roofs from aerial imagery

Author

Ye, Chul-Soo ; Lee, Kwae-Hi

Author_Institution

Dept. of Electron. Eng., Sogang Univ., Seoul, South Korea

Volume

5

fYear

2001

fDate

2001

Firstpage

2331

Abstract

In this paper, an approach for the automated reconstruction of urban house roofs from aerial images is proposed. We model a house roof as a set of planar polygonal patches, each of which is extracted by object related image segmentation and coplanar grouping. For object related Image segmentation we employ a region segmentation method by the distance transform. Coplanar grouping and polygonal patch formation is performed by selecting 3D line segments that are matched across different views using epipolar geometry and flight information. The algorithm has been applied to aerial images and the results show accurate reconstruction of urban house roofs

Keywords

feature extraction; geophysical signal processing; geophysical techniques; image processing; image segmentation; remote sensing; terrain mapping; 3D line segments; aerial imagery; algorithm; automated reconstruction; building; coplanar grouping; epipolar geometry; feature extraction; flight information; house; image processing; model; object related image segmentation; optical imaging; planar polygonal patch; polygonal patch formation; remote sensing; roof; Buildings; Computer vision; Contracts; Data mining; Image converters; Image reconstruction; Image resolution; Image segmentation; Information geometry; Pixel;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International

Conference_Location

Sydney, NSW

Print_ISBN

0-7803-7031-7

Type

conf

DOI

10.1109/IGARSS.2001.977992

Filename

977992