Full text: CMRT09

In: Stilla U, Rottensteiner F, Paparoditis N (Eds) CMRT09. IAPRS, Vol. XXXVIII, Part 3/W4 — Paris, France, 3-4 September, 2009 
RAY TRACING AND SAR-TOMOGRAPHY FOR 3D ANALYSIS OF MICROWAVE 
SCATTERING AT MAN-MADE OBJECTS 
S. Auer 3 , X. Zhu a , S. Hinz b , R. Bamler 3C 
3 Remote Sensing Technology, Technische Universität München, Arcisstrasse 21, 80333 München - (Stefan.Auer, 
Xiaoxiang.Zhu)@bv.tum.de 
b Institute for Photogrammetry and Remote Sensing, Universität Karlsruhe, Kaiserstrasse 12, 76128 Karlsruhe 
- stefan.hinz@ipf.uni-karlsruhe.de 
c Remote Sensing Technology Institute, German Aerospace Center (DLR), Münchner Strasse 20, 82234 
Oberpfaffenhofen-Wessling - Richard.Bamler@dlr.de 
Commission VI, WG VI/4 
KEY WORDS: SAR Simulation, Ray Tracing, POV Ray, SAR Tomography, TerraSAR-X 
ABSTRACT: 
An inherent drawback of SAR imaging of complex 3D structures is the potential layover of more than one scatterer in one resolution 
cell. Such scatterers can be separated by tomographic processing of multiple SAR images acquired with different across-track 
baselines. Simulation tools may further support interpretation of such layover effects appearing in multi-body urban scenes. In this 
paper, an existing 2D simulation approach, developed for separating different kinds of reflection effects in the azimuth-range plane, 
is enhanced by including the elevation direction as third dimension and thus enabling the comparison of the SAR simulation results 
with 3D imaging techniques such as tomography. After introducing the simulation concept, tools for three-dimensional analysis of 
scattering effects are presented. Finally, simulated data are compared with real elevation data extracted from TerraSAR-X images 
for showing potential fields of application. 
1. INTRODUCTION 
High resolution SAR sensors like TerraSAR-X or Cosmo- 
SkyMed provide SAR images having a resolution of below one 
meter in spotlight mode. While in SAR images of coarse 
resolution several dominant scatterers from man-made objects 
at slightly different ranges may be condensed into a single 
pixel, these will be separable in high resolution images. Hence, 
more image features can be distinguished due to an increased 
number of deterministic effects and due to an increased signal 
to clutter ratio for dominant scatterers (Adam et al., 2008). 
However, visual interpretation of image features in high 
resolution SAR images remains challenging due to range 
dependent geometrical effects. SAR maps the 3D world 
basically into a cylindrical coordinate system, where range and 
azimuth are the image coordinates and elevation is the 
coordinate, along which all scattering contributions are 
integrated, i.e. all scatterers are mapped into the same resolution 
cell in the azimuth-range plane if they have the same spatial 
distance with respect to the SAR sensor. Access to the third 
coordinate, elevation, is achieved by multi-baseline methods, 
like Persistent Scatterer Interferometry (Ferretti et ah, 2001; 
Kampes, 2006) or SAR tomography (Reigber & Moreira, 2000; 
Fomaro et al, 2003; Zhu et ah, 2008). 
Simulation of scattering effects for urban areas may support 
visual interpretation of high resolution SAR images. In this 
context, Franceschetti and co-workers (Franceschetti et ah, 
1995) distinguish between two different kinds of SAR 
simulators: image simulators and SAR raw data simulators. In 
the past, different concepts have been presented for simulating 
artificial SAR images for urban areas (Balz, 2006; Mametsa et 
ah, 2001) and for simulating SAR raw data by illuminating 
simplified building models (Franceschetti et ah, 2003). 
The simulator presented in this paper applies ray tracing 
algorithms and has been developed for simulating artificial 
SAR reflectivity maps (Auer et ah, 2008). The approach is 
focused on geometrical correctness while physical effects and 
speckle effects are neglected. In addition to a reflectivity map 
containing all backscattered intensities, reflection effects are 
assigned to different image layers based on available bounce 
level infonnation, i.e. separate layers for single bounce, double 
bounce, etc. Hence, interpretation of deterministic reflection 
phenomena appearing at man-made objects is simplified. 
So far, for providing image data in azimuth and range, two out 
of three dimensions of the imaging system have been exploited. 
The novelty of the presented approach compared to other 
simulation concepts relates to the fact that the complete 3D 
geometry of the SAR imaging process is simulated and stored. 
This enables one, based on the simulated 2D SAR, to retrieve 
information about the existence of multiple scatterers in one 
resolution cell in the SAR image. We show that simulation of 
the distribution of point scatterers in elevation direction may 
support the interpretation of estimated elevation coordinates 
derived by SAR Tomography. 
The structure of the paper is organized as follows. Firstly, the 
basic simulation concept is introduced in Section 2 where four 
major parts of the simulation concept are explained including 
necessary developments for extraction and analysis of elevation 
data. Simulation results displaying elevation data are compared 
with real data extracted from a TerraSAR-X image in Section 3. 
Finally, in Section 4, a short summary is given and future work 
is addressed.
	        
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