Name
Abstract | ||
|---|---|---|
Quantitative analyses of remote sensing data acquired with variable geometries and different sensors are greatly facilitated by geocoding the data to a common geographical reference. Errors in geocoded SAR images are due to inaccuracies in the orbit data, errors in the processing parameters, and DEM errors. Automated terrain geocoding of SAR data is possible using only a single resampling of the native slant-range to the final map geometry after measurement and correction for residual geolocation errors. An accurate adaptive resampling algorithm for the interpolation from the SAR geometry to the map coordinate system is presented. This processing paradigm has been extended to permit combining data from different SAR instruments. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/IGARSS.2002.1025723 | IGARSS |
Keywords | Field | DocType |
geophysical signal processing,geophysical techniques,image coding,image registration,radar imaging,remote sensing by radar,sensor fusion,synthetic aperture radar,terrain mapping,sar,geo-referencing,geocoding,geophysical measurement technique,image processing,interpolation,land surface,multisensor image registration,native slant-range,quantitative analysis,radar remote sensing,resampling,variable geometry,geometry,coordinate system,error correction,image sensors,backscatter,remote sensing | Computer vision,Radar imaging,Geocoding,Computer science,Synthetic aperture radar,Terrain,Interpolation,Remote sensing,Sensor fusion,Artificial intelligence,Resampling,Image registration | Conference |
Volume | ISBN | Citations |
2 | 0-7803-7536-X | 2 |
PageRank | References | Authors |
0.66 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| C. L. Werner | 1 | 232 | 51.97 |
| Tazio Strozzi | 2 | 143 | 31.48 |
| Urs Wegmüller | 3 | 279 | 59.44 |
| Wiesmann, A. | 4 | 2 | 0.66 |