Optimisation of stereo-matching algorithms using extant DEM data

Milledge, D.G.; Lane, S.N.; Warburton, J.

doi:10.14358/pers.75.3.323

Optimisation of stereo-matching algorithms using extant DEM data

Milledge, D.G.; Lane, S.N.; Warburton, J.

Authors

D.G. Milledge

S.N. Lane

Professor Jeff Warburton jeff.warburton@durham.ac.uk
Professor

Abstract

Here we present a new method for using existing Digital Elevation Model data to optimise performance of stereo-matching algorithms for digital topographic determination. We show that existing DEM data, even those of a poor quality (precision, resolution) can be used as a means of training stereo-matching algorithms to generate higher quality DEM data. Existing data are used to identify and to remove gross surface errors. We test the method using true vertical aerial imagery for a UK upland study site. Results demonstrate a dramatic improvement in data quality even where DEM data derived from topographic maps are adopted. Comparison with other methods suggests that using existing DEM data improves error identification and correction significantly. Tests suggest that it is applicable to both archival and commissioned aerial imagery.

Citation

Milledge, D., Lane, S., & Warburton, J. (2009). Optimisation of stereo-matching algorithms using extant DEM data. Photogrammetric engineering and remote sensing, 75(3), 323-333. https://doi.org/10.14358/pers.75.3.323

Journal Article Type	Article
Publication Date	Mar 1, 2009
Deposit Date	Sep 21, 2009
Publicly Available Date	Feb 3, 2010
Journal	Photogrammetric engineering and remote sensing.
Print ISSN	0099-1112
Publisher	American Society for Photogrammetry & Remote Sensing
Peer Reviewed	Peer Reviewed
Volume	75
Issue	3
Pages	323-333
DOI	https://doi.org/10.14358/pers.75.3.323
Keywords	Digital Elevation Models, Optimisation, Stereo-matching algorithms, Error.
Publisher URL	http://www.asprs.org/publications/pers/2009journal/march/abstracts.html#323