| Title | Evaluation of Radargrammetric DEM from RADARSAT Images in High Relief Areas |
| Download | Downloads (Preprint) |
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| Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
| Author | Toutin, Th |
| Source | IEEE Transactions on Geoscience and Remote Sensing (Institute of Electrical and Electronics Engineers) vol. 38, issue 2, 2000 p. 782-789, https://doi.org/10.1109/36.842007 |
| Year | 2000 |
| Alt Series | Earth Sciences Sector, Contribution Series 20042820 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Subjects | digital terrain modelling; remote sensing; incident angles; RADARSAT; SAR imagery; Ground Control Points (GCP) |
| Released | 2000 03 01 |
| Abstract | The paper addresses digital elevation mode (DEM) generation with RADARSAT synthetic aperture radar (SAR) fine mode images (F2-F4 and F1-F5) over high relief areas. Shallow look angles and small
intersection angles were chosen to reduce layover and radiometric differences in the stereo-images, and thus increase the performances of the image matching. The radargrammetric DEMs are thus evaluated as a function of processing methods (stereo
viewing and editing) and different geometric parameters (intersection angle and derivative topographic surfaces). The first results show that the ground control points (GCPs) have to be acquired with stereoscopic viewing instead of monoscopic viewing
to avoid more than 30% error increase in the DEM. An error of one pixel for the image matching has been estimated. The DEMs have also to be edited with semi-automatic and stereo-viewing to increase their coherence and consistency, mainly at mountain
ridges and lakes. The results also show that a 50% decrease in the intersection angle (8° versus 4°) resulted only in 15% decrease in accuracy (24 m versus 28 m), in contradiction with the theory. Finally, the DEM accuracy is almost-linearly
correlated with the terrain slopes but not with the terrain aspect (except better results for the foreslopes). |
| GEOSCAN ID | 219622 |
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