DEM-based Epipolar Rectification for optimized Radargrammetry

Publication from Digital

Perko Roland, Gutjahr Karlheinz, Krüger Maria, Raggam Hannes , Schardt Mathias

In Proceeding of IEEE International Geoscience and Remote Sensing Symposium (IGARRS) 2017, Texas Worth, US; , 1/2017


The quality of DEMs derived via radargrammetry mainly depends on the similarity of the SAR stereo images, taken under different look angles, in the image matching step. This work presents a novel pre-processing method that allows generating more similar epipolar images which are corrected by the underlying topography thus leading SAR specific distortion corrected stereo pairs. The evaluation w.r.t LiDAR data shows the increased quality of resulting DEMs.