Automatic building extraction using a combination of spatial data and digital photogrammetry

Jussi Lammi

doi:10.1117/12.281042

5 August 1997 Automatic building extraction using a combination of spatial data and digital photogrammetry

Jussi Lammi

Proceedings Volume 3072, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision III; (1997) https://doi.org/10.1117/12.281042
Event: AeroSense '97, 1997, Orlando, FL, United States

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.

Citation Download Citation

Jussi Lammi "Automatic building extraction using a combination of spatial data and digital photogrammetry", Proc. SPIE 3072, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision III, (5 August 1997); https://doi.org/10.1117/12.281042

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