Geometric and Polarimetric Sharpening of SAR Images by Kennaugh- and Schmittlet-based Multi-frequency Data Fusion

Abstract

The joint use of diverse sensors is of major interest in the remote sensing community. As each sensor has its own characteristics in terms of geometric, radiometric and polarimetric resolution, it provides certain advantages and disadvantages for special applications. This contribution presents a way of image sharpening both in the geometric and polarimetric domain by joining the acquisitions of TerraSAR-X and RADARSAT-2. The image fusion is performed by the help of the Kennaugh element framework and the Schmittlet image enhancement. An unexpected high richness of detail characterizes the combined image and facilitates the following image interpretation like land cover classification.