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TitleSubpixel image matching based on Fourier phase correlation for Radarsat-2 stereo-radargrammetry
AuthorZakharov, I; Toutin, T
SourceCanadian Journal of Remote Sensing vol. 38, no. 4, 2012 p. 487-495, https://doi.org/10.5589/m12-041
Year2012
Alt SeriesEarth Sciences Sector, Contribution Series 20120355
Documentserial
Lang.English
Mediapaper; on-line; digital
RelatedThis publication is related to Zakharov, I; Toutin, T; (2011). Subpixel-matching based on phase correlation applied to stereo-radargrammetry, 32nd Canadian Symposium on Remote Sensing and 14th Congress of the Association québecoise de télédétection: monitoring a changing world, program
File formatpdf
Subjectsgeophysics; remote sensing; radar imagery; radar methods; radar imagery; Radarsat-2
Illustrationssatellite images; plots; digital elevation models
ProgramTopographic Production, Topographic Mapping
Released2014 06 04
AbstractImage matching is the major step in the radargrammetric process to measure elevation parallax. To extract parallax from stereo synthetic aperture radar images the subpixel image matching method based on Fourier phase correlation was implemented with an algorithm using the hierarchical multiresolution approach and applied to Fine Quad mode Radarsat-2 data. The experimental results with simulated images show that a decrease in intersection angle leads to an increase in matching accuracy of up to 0.06 of a pixel. To validate the matching results a digital surface model was extracted from the real stereo pair and compared with accurate lidar data. The statistics show that there are good improvements (in the order of 10%\'0220%) in the accuracy over results extracted using a traditional image matching technique based on the normalized cross-correlation. The analysis of the mutual dependence of matching accuracy and stereo pair configurations shows that the application of subpixel matching allows us to make the radargrammetric process flexible in the choice of stereo pairs.
GEOSCAN ID292154