Abstract
Abstract. Nowadays by high resolution SAR imaging systems as Radarsat-2, TerraSAR-X and COSMO-skyMed, three-dimensional terrain data extraction using SAR images is growing. InSAR and Radargrammetry are two most common approaches for removing 3D object coordinate from SAR images. Research has shown that extraction of terrain elevation data using satellite repeat pass interferometry SAR technique due to atmospheric factors and the lack of coherence between the images in areas with dense vegetation cover is a problematic. So the use of Radargrammetry technique can be effective. Generally height derived method by Radargrammetry consists of two stages: Images matching and space intersection. In this paper we propose a multi-stage algorithm founded on the combination of feature based and area based image matching. Then the RPCs that calculate for each images use for extracting 3D coordinate in matched points. At the end, the coordinates calculating that compare with coordinates extracted from 1 meters DEM. The results show root mean square errors for 360 points are 3.09 meters. We use a pair of spotlight TerraSAR-X images from JAM (IRAN) in this article.
Highlights
Due to the presence of intrinsic speckle noise in SAR images, first use a Wiener filter to reduce noise and the matching is done
We use a pair of TerraSAR-X Single-Look SlantRange Complex (SSC) images with long baseline
By applying matching method that described in the second part, 360 matched points are extracted from images
Summary
There are two main techniques to extract 3D object coordinate from SAR images which in both of them two or more images are taken from different points and different look angels in the space. At the first method that is interferometry SAR, different phase between two images use far extracting height information. Unlike Radargrammetric technique analyzes the signal amplitude and exploits the stereoscopy as optical photogrammetric methods. Toutin research on the use of Radargrammetry techniques by RADARSAT-1 and ERS1 / 2 images and model was offered as a three-dimensional Toutin Model(Toutin and Gray 2000). Since 2007 with the advancement of technology and the ability to obtain SAR images with a high spatial resolution of about one meter by TerraSAR-X, Radarsat-2, the development took place and where not possible use optical images or interferometry techniques, Radargrammetry methods were used and good results were obtained (Raggam, Gutjahr et al 2010) and (Toutin and Chénier 2009). Height derived method by Radargrammetry involves of two stages: Images matching and space intersection. Because of simplicity and high speed processing of RFMs, we use of RPCs instead of R&D for space intersection
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