| Title | Subpixel image matching based on Fourier phase correlation for Radarsat-2 stereo-radargrammetry |
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| Author | Zakharov, I; Toutin, T |
| Source | Canadian Journal of Remote Sensing vol. 38, no. 4, 2012 p. 487-495, https://doi.org/10.5589/m12-041 |
| Image |  |
| Year | 2012 |
| Alt Series | Earth Sciences Sector, Contribution Series 20120355 |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| Related | This publication is related to Subpixel-matching based on
phase correlation applied to stereo-radargrammetry |
| File format | pdf |
| Subjects | geophysics; remote sensing; radar imagery; radar methods; radar imagery; Radarsat-2 |
| Illustrations | satellite images; plots; digital elevation models |
| Program | Topographic Mapping |
| Released | 2014 06 04 |
| Abstract | Image 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 ID | 292154 |
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