Name
Abstract | ||
|---|---|---|
In this paper, we propose a framework referred to as “geodetic synthetic aperture radar (SAR) tomography” that fuses the SAR imaging geodesy and tomographic SAR inversion (TomoSAR) approaches to obtain absolute 3-D positions of a large amount of natural scatterers. The methodology is applied on four very high resolution TerraSAR-X spotlight image stacks acquired over the city of Berlin. Since all the TomoSAR estimates are relative to the same reference point object whose absolute 3-D positions are retrieved by means of stereo SAR, the point clouds reconstructed using data acquired from different viewing angles can be geodetically fused. To assess the accuracy of the position estimates, the resulting absolute shadow-free 3-D TomoSAR point clouds are compared with a digital surface model obtained by airborne LiDAR. It is demonstrated that an absolute positioning accuracy of around 20 cm and a meter-order relative positioning accuracy can be achieved by the proposed framework using TerraSAR-X data. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TGRS.2015.2448686 | Geoscience and Remote Sensing, IEEE Transactions |
Keywords | Field | DocType |
geophysical image processing,image reconstruction,radar imaging,remote sensing by radar,synthetic aperture radar,Berlin city,SAR imaging geodesy,TerraSAR-X data,TerraSAR-X spotlight image stacks,TomoSAR,absolute positioning accuracy,free 3-D TomoSAR point clouds,geodetic SAR tomography,geodetically fused,meter-order relative positioning accuracy,point clouds reconstruction,reference point object stereo SAR,synthetic aperture radar,tomographic SAR inversion,Absolute positioning,SAR geodesy,SAR tomography,TerraSAR-X,geodetic SAR tomography,geodetical fusion,stereo SAR,synthetic aperture radar (SAR) | Geodetic datum,Synthetic aperture radar,Remote sensing,Azimuth,Lidar,Artificial intelligence,Geodesy,Computer vision,Radar imaging,Side looking airborne radar,Inverse synthetic aperture radar,Point cloud,Mathematics | Journal |
Volume | Issue | ISSN |
54 | 1 | 0196-2892 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiao Xiang Zhu | 1 | 896 | 103.00 |
| Sina Montazeri | 2 | 35 | 4.46 |
| Christoph Gisinger | 3 | 9 | 2.67 |
| Ramon F. Hanssen | 4 | 107 | 28.92 |
| Richard Bamler | 5 | 908 | 106.33 |