Automatic registration of SAR image and GIS building footprints data in dense urban area

Abstract

In this paper, we propose a framework for the automatic registration of GIS building footprint polygons to a corresponding SAR image through the corresponding features of building walls in the two data. To extract feature lines, the Potts model is adopted for SAR image segmentation, and visibility test is performed on both data. The feature lines are then sampled to two point sets, and are registered using Iterative Closest Point (ICP) algorithm. The test result shows a registration accuracy of 0.67 m in azimuth direction, and 1.64m in range direction.