A 3D Reconstruction Method of Mountain Areas for TomoSAR

Abstract

Tomographic Synthetic Aperture Radar (TomoSAR) is an advanced technique which allows to achieve 3D reconstruction of interested areas, such as man-made buildings, mountain areas, and other topographic features. However, up to now there exist few researches about 3D reconstruction of mountain areas using TomoSAR. In this paper, an efficient 3D reconstruction method of mountain areas for TomoSAR is proposed. It is a point cloud postprocessing method, which exploits secondary denoising and local plane fitting in a projected coordinate system. Compared with traditional algorithms, the proposed method can not only obtain a good denoising performance, but also acquire high quality 3D reconstruction images of mountain areas. The effectiveness of our method is verified by both simulated and experimental results.