Analysis of the reliability of the double bounce scattering mechanism for detecting buildings in VHR SAR images

The double bounce effect of buildings is an important characteristic in very high resolution (VHR) synthetic aperture radar (SAR) images. It typically appears as a strong scattering mechanism caused by a corner reflector, which is made of the front wall of a building and its surrounding ground area. In order to exploit this feature effectively for automatic building detection and reconstruction techniques, empirical studies on real VHR SAR images need to investigate the stability of the double bounce mechanism with respect to changes in the viewing configuration and material properties. Thus, this paper addresses the analysis of the relation between the double bounce effect and the aspect angle of a building for two different ground materials, by analyzing two TerraSAR-X VHR spaceborne SAR images. Furthermore, we compare the empirical results with the simulations obtained by theoretical electromagnetic models. We show that if the buildings are surrounded by asphalt, the strength of the double bounce decreases significantly from 0 to 10 degrees aspect angle, while it decreases moderately for higher values of the aspect angle. Considering buildings which are surrounded by grass, the drop of the strength for low values of the aspect angle is less evident, but it is more constant on the full range of aspect angles.

[1]  Ya-Qiu Jin,et al.  Automatic Reconstruction of Building Objects From Multiaspect Meter-Resolution SAR Images , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[2]  Uwe Soergel,et al.  Feature extraction of gable-roofed buildings from multi-aspect high-resolution InSAR data , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[3]  Uwe Soergel,et al.  Building Recognition From Multi-Aspect High-Resolution InSAR Data in Urban Areas , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[4]  Giorgio Franceschetti,et al.  Electromagnetic Modelling for Information Extraction from High Resolution SAR Images of Urban Areas , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

[5]  Kamal Sarabandi,et al.  Low grazing incidence millimeter-wave scattering models and measurements for various road surfaces , 1999 .

[6]  Y. A. Hussin,et al.  Effect of polarization and incidence angle on radar return from urban features using L-band aircraft radar data , 1995, 1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications.

[7]  Hashem M. A. Al-Mattarneh,et al.  Microwave Sensing of Moisture Content in Concrete Using Open-Ended Rectangular Waveguide , 2001 .

[8]  Giorgio Franceschetti,et al.  A canonical problem in electromagnetic backscattering from buildings , 2002, IEEE Trans. Geosci. Remote. Sens..

[9]  Markus Peichl,et al.  Microwave Radar Signature Acquisition of Urban Structures , 2007 .

[10]  Heather McNairn,et al.  First order surface roughness correction of active microwave observations for estimating soil moisture , 1997, IEEE Trans. Geosci. Remote. Sens..

[11]  Fabio Covello,et al.  COSMO-SkyMed mission status , 2008, Remote Sensing.

[12]  C. Ticehurst,et al.  Radar backscatter analysis for urban environments , 1997 .

[13]  Edward J. Jaselskis,et al.  Dielectric Properties of Asphalt Pavement , 2003 .

[14]  Jose Luis Alvarez-Perez An extension of the IEM/IEMM surface scattering model , 2001 .

[15]  G. Lemoine,et al.  Analysis of the double bounce scattering mechanism of buildings in VHR SAR data , 2008, Remote Sensing.

[16]  S. Buckreuss,et al.  The German satellite mission TerraSAR-X , 2008 .

[17]  E. S. Kasischke,et al.  The effects of changes in loblolly pine biomass and soil moisture on ERS-1 SAR backscatter , 1994 .