Iterative registration of SAR imagery

Results of registering synthetic aperture radar (SAR) images are presented. A set of reference (tie) points are specified in a target image and an iterative search performed to obtain the corresponding tie points in a source image. Registration error is computed for each tie point by estimating its translational misalignment. The set of tie point error vectors are subsequently used to update the registration transformation. This processing sequence is repeated until convergence. The registration algorithm converges to the correct transformation in all cases tried so far. Tests on SAR imagery with known misalignment indicate that the algorithm can achieve simultaneously rms errors of 0. 01 0. 03 pixel and 0. 01 iii rotation translation and scale respectively.© (1990) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.