Title :
Radar Imaging Simulation for Urban Structures
Author :
Brunner, Dominik ; Lemoine, Guido ; Greidanus, Harm ; Bruzzone, Lorenzo
Author_Institution :
Eur. Comm. Joint Res. Centre, Ispra, Italy
Abstract :
With the recent advent of very high resolution (VHR) spaceborne synthetic aperture radar (SAR) sensors such as TerraSAR-X and COSMO-SkyMed, the potential to use SAR simulators is increasing. In this letter, we propose a novel radar imaging simulator that is relatively simple to implement and that finds a balance between accuracy and efficiency. The main goal of the proposed method is to obtain a precise simulation of the geometry of objects in SAR images rather than a detailed radiometric simulation. The simulator is based on an extended ray-tracing procedure to determine which surfaces of a generic object contribute to the backscatter. The backscatter contributions are calculated by means of a Lambertian-specular mixture model. The simulator has already been employed successfully in a methodology for 3-D reconstruction of man-made objects from single detected VHR SAR imagery. Here, we illustrate its work on two rather different structures, a rectangular gable-roof building and an Egyptian pyramid.
Keywords :
geometry; radar imaging; ray tracing; remote sensing; spaceborne radar; synthetic aperture radar; 3D reconstruction; COSMO-SkyMed; Egyptian pyramid; Lambertian-specular mixture model; TerraSAR-X; backscatter contributions; man-made objects; object geometry; radar imaging simulation; radiometric simulation; ray tracing; rectangular gable-roof building; single detected VHR SAR imagery; synthetic aperture radar; urban structures; very high resolution spaceborne SAR sensors; Backscatter; Geometry; Radar imaging; Radiometry; Ray tracing; Solid modeling; Spaceborne radar; Surface reconstruction; Synthetic aperture radar; Three dimensional displays; Radar imaging simulation; ray tracing; remote sensing; spaceborne synthetic aperture radar (SAR); very high resolution (VHR) images;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2010.2051214