3D building extraction based on aerial steroscopic images

Alain Michel; Olivier Goretta; Laurence Lorin

doi:10.1117/12.365875

18 October 1999 3D building extraction based on aerial steroscopic images

Alain Michel, Olivier Goretta, Laurence Lorin

Proceedings Volume 3808, Applications of Digital Image Processing XXII; (1999) https://doi.org/10.1117/12.365875
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

Extraction of 'man-made object' from stereoscopic aerial images is a problem which is not entirely solved. In this paper we propose an interactive approach to extract such objects. The disparity image is used to roughly delineate buildings. Then, the buildings are extracted according to their shape. An operator clicks inside the roof of the building of interest and chooses between two different algorithms, the rest of the process is entirely automatic. A very robust algorithm based on the Hough transform is used to extract rectangular buildings, whereas, a large spectrum algorithm based on snakes is used to extract more complex shapes. Our method gives good results in extracting buildings on IGN aerial images already rectified in epipolar geometry.

Citation Download Citation

Alain Michel, Olivier Goretta, and Laurence Lorin "3D building extraction based on aerial steroscopic images", Proc. SPIE 3808, Applications of Digital Image Processing XXII, (18 October 1999); https://doi.org/10.1117/12.365875

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