| The geocoding of airborne interferometric synthetic aperture radar (InSAR) derived digital terrain model (DEM) is described. The geocoding algorithms and interpolation methods for DEM are two of the
critical factors to the mapping accuracy and efficiency. The slant-range to UTM grid mapping algorithm which is used in the current CCRS's airborne InSAR mapperis simple but fast. There are empty bins and sometimes many values are dumped into the
same bin on the map space, which results in resolution loss. To improve the mapping accuracy, the step of interpolation onto a regular map grid is needed, given a set of randomly distributed mapped data. Unfortunately, the implementation of such
interpolation is not easy. The UTM grid to slant-range mapping algorithm reverses the above mapping procedure and overcomes the above difficulty. It requires simple implementation of the interpolations in slant-range space which is a regular
sampled grid. In this paper, several geocoding algorithms are reviewed. An efficient UTM grid to slant-range mapping algorithm for airborne InSAR is presented. Our purpose is to minimize the mapping errors arising in the geocoding algorithms.
Results from geocoding of Kananakis scene are shown, and the mapping accuracy is given. |