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Proceedings Paper

SPOT stereo matching for DTM generation
Author(s): Emmanuel P. Baltsavias; Dirk Stallmann
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Paper Abstract

This paper presents a matching algorithm for automatic DTM generation from SPOT images that provides dense, accurate and reliable results and attacks the problem of radiometric differences between the images. The proposed algorithm is based on a modified version of the Multiphoto Geometrically Constrained Matching (MPGC). It is the first algorithm that explicitly uses the SPOT geometry in matching, restricting thus the search space in one dimension, and simultaneously providing pixel and object coordinates. This leads to an increase in reliability, and to reduction and easier detection of blunders. The sensor modelling is based on Kratky's polynomial mapping functions to transform between the image spaces of stereopairs. With their help epipolar lines that are practically straight can be determined and the search is constrained along these lines. The polynomial functions can also provide approximate values, which are further refined by the use of an image pyramid.

Paper Details

Date Published: 24 September 1993
PDF: 12 pages
Proc. SPIE 1944, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision, (24 September 1993); doi: 10.1117/12.155800
Show Author Affiliations
Emmanuel P. Baltsavias, Swiss Federal Institute of Technology Zurich (Switzerland)
Dirk Stallmann, Swiss Federal Institute of Technology Zurich (Switzerland)

Published in SPIE Proceedings Vol. 1944:
Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision
Eamon B. Barrett; David M. McKeown, Editor(s)

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