Registration of multi-aspect InSAR images

Wolfgang Middelmann; Vadim Pepelka; Ulrich Thoennessen

doi:10.1117/12.502306

12 September 2003 Registration of multi-aspect InSAR images

Wolfgang Middelmann, Vadim Pepelka, Ulrich Thoennessen

Proceedings Volume 5095, Algorithms for Synthetic Aperture Radar Imagery X; (2003) https://doi.org/10.1117/12.502306
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

The extensive knowledge of scenes is necessary for change detection or mission planning. Unfortunately, InSAR images have zones with full or partial loss of information, e.g. in shadow areas. We have developed an algorithm for registration and fusion of multi-aspect InSAR images to replace shadow zones in the image of the first aspect by corresponding data taken from another aspect. The investigations were carried out with using of X band images obtained for two aspects. The two aspect images were recorded from two contrary flight courses. The images were delivered as intensity and unwrapped phase of forest, rural and urban terrain. The registration is based on the consecutive application of three separate matching algorithms: matching straight lines, matching contour sequences, and matching based on the Fourier-Mellin transform. The different matching algorithms are optimized for working with the SAR images having different contents. The main peculiarities of the registration algorithm are the methods of structural matching brightness contours calculated by standard edge filters. The shadow borders are excluded from the gradient field by a heuristic algorithm. The contours are extracted by a watershed- or a maximum gradient tracking algorithm. The matching is very robust. It is rather computationally expensive, thus a hierarchical structural matching is used to decrease the computational complexity. The multi-stage contour matching provides a fast and reliable registration and fusion.

Citation Download Citation

Wolfgang Middelmann, Vadim Pepelka, and Ulrich Thoennessen "Registration of multi-aspect InSAR images", Proc. SPIE 5095, Algorithms for Synthetic Aperture Radar Imagery X, (12 September 2003); https://doi.org/10.1117/12.502306

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