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Proceedings Paper

Automatic building extraction using a combination of spatial data and digital photogrammetry
Author(s): Jussi Lammi
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Paper Abstract

This paper studies the automatic extraction of buildings using a combination of spatial data and digital photogrammetry. A heuristic search offers one way to update existing two- dimensional vector data into 2.5- or three dimensional data. The objective is to find a criteria function for a heuristic search of edges from images, and to determine how this should be used for extraction of buildings when two-dimensional basement data is available. The technique proposed is based on an edge detection applied to image data at those positions where discontinuities are expected. The edge detection is done in object space, which makes the implementation of an edge finding algorithm straightforward, and also ensures that the method is directly applicable to the use of multiple images. Edge detection by search is carried out using a hierarchical search strategy. The method achieves sub-pixel accuracy in edge finding, provided the step size used is smaller than the pixel size of images. The method was used to construct three- dimensional models of buildings in Tampere. In the test, the edge detection by search worked well in most cases. The pull- in range of the method was large.

Paper Details

Date Published: 5 August 1997
PDF: 8 pages
Proc. SPIE 3072, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision III, (5 August 1997); doi: 10.1117/12.281042
Show Author Affiliations
Jussi Lammi, ESPA Systems Ltd. (Finland)


Published in SPIE Proceedings Vol. 3072:
Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision III
David M. McKeown; J. Chris McGlone; Olivier Jamet, Editor(s)

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