Automated matching experiments with different kinds of SAR imagery

The authors carry out tests with two readily available automated matching algorithms in their application to (a) Magellan SAR stereo images, and (b) ERS-1 and X-SAR real-simulated images. The match points are examined visually, and an accuracy analysis on Magellan data is performed by comparison with manual measurements.

[1]  Wolfgang Pölzleitner,et al.  Robust disparity estimation in terrain modeling for spacecraft navigation , 1992, [1992] Proceedings. 11th IAPR International Conference on Pattern Recognition.

[2]  S. Shaffer,et al.  Automatic DEM generation using Magellan stereo data , 1994, Proceedings of IGARSS '94 - 1994 IEEE International Geoscience and Remote Sensing Symposium.

[3]  B. Guindon,et al.  Automated Matching of Real and Simulated Sar Imagery as a Tool for Ground Control Point Acquisition , 1986 .

[4]  S. Hensley,et al.  Noise resistant estimation techniques for SAR image registration and stereo matching , 1994, Proceedings of IGARSS '94 - 1994 IEEE International Geoscience and Remote Sensing Symposium.

[5]  H. Ramapriyan,et al.  Automated Matching of Pairs of SIR-B Images for Elevation Mapping , 1986, IEEE Transactions on Geoscience and Remote Sensing.

[6]  John C. Curlander,et al.  An automated system for mosaicking spaceborne SAR imagery , 1990 .

[7]  H. Kimura,et al.  Automated Matching Of Real And Simulated Sar Imagery For Geometric Correction , 1990, 10th Annual International Symposium on Geoscience and Remote Sensing.

[8]  B. Guidon.  Performance evaluation of real-simulated image matching techniques in the acquisition of ground control for ERS-1 image geocoding , 1995 .

[9]  Franz Leberl,et al.  Automated radar image matching experiment , 1994 .