Fusion of Monostatic/Bistatic InSAR Stacks for Urban Area Analysis via Distributed Scatterers

Interferometric synthetic aperture radar (SAR) is a powerful technique providing meter-precision elevation maps and millimeter-precision surface displacement maps. Since 2007, the high-resolution SAR satellite TerraSAR-X allows monitoring of even single buildings from space using advanced monostatic repeat-pass stacking techniques. Furthermore, the launch of its twin satellite TanDEM-X in 2010 facilitates bistatic single-pass SAR interferometry. The main objective of this mission is the generation of a global digital elevation model. It also provides a configurable SAR platform for demonstrating new interferometric techniques and applications. However, in dense urban areas, standard TanDEM-X elevation models are inaccurate because ambiguities in radar layover areas cannot be solved. This letter describes the potential of joint monostatic and bistatic (motion-free and atmosphere-free) SAR interferometric stacking for an improved scene elevation and surface deformation estimation in complex urban areas. It involves exploiting distributed scatterers (DSs) using an advanced high-resolution small-baseline subset algorithm. Since most of the scatterers within a radar image can be classified as DSs, there is an increasing focus on an optimal processing of DSs for urban area monitoring. The fusion technique and an application test case are presented using a high-resolution spotlight mixed TerraSAR-X/TanDEM-X data stack of Las Vegas, USA.

[1]  Fabio Rocca,et al.  Diameters of the orbital tubes in long-term interferometric SAR surveys , 2004, IEEE Geoscience and Remote Sensing Letters.

[2]  Yngvar Larsen,et al.  InSAR Deformation Time Series Using an $L_{1}$ -Norm Small-Baseline Approach , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[3]  Fuk K. Li,et al.  Synthetic aperture radar interferometry , 2000, Proceedings of the IEEE.

[4]  Mario Costantini,et al.  A novel phase unwrapping method based on network programming , 1998, IEEE Trans. Geosci. Remote. Sens..

[5]  Claudio Prati,et al.  A New Algorithm for Processing Interferometric Data-Stacks: SqueeSAR , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[6]  Kanika Goel,et al.  An advanced algorithm for deformation estimation in non-urban areas , 2012 .

[7]  Gerhard Krieger,et al.  TanDEM-X: A Satellite Formation for High-Resolution SAR Interferometry , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[8]  J. Goodman Some fundamental properties of speckle , 1976 .

[9]  Alessandro Parizzi,et al.  Adaptive InSAR Stack Multilooking Exploiting Amplitude Statistics: A Comparison Between Different Techniques and Practical Results , 2011, IEEE Geoscience and Remote Sensing Letters.

[10]  I. Barrodale,et al.  An Improved Algorithm for Discrete $l_1 $ Linear Approximation , 1973 .

[11]  Richard Bamler,et al.  Very High Resolution Spaceborne SAR Tomography in Urban Environment , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[12]  Richard Bamler,et al.  Let's Do the Time Warp: Multicomponent Nonlinear Motion Estimation in Differential SAR Tomography , 2011, IEEE Geoscience and Remote Sensing Letters.

[13]  R. Bamler,et al.  Synthetic aperture radar interferometry , 1998 .

[14]  Michael Eineder,et al.  Spaceborne Spotlight SAR Interferometry With TerraSAR-X , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[15]  M. Eineder,et al.  The Development of A Scientific Permanent Scatterer System , 2003 .

[16]  Gianfranco Fornaro,et al.  A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms , 2002, IEEE Trans. Geosci. Remote. Sens..

[17]  Fabio Rocca,et al.  Permanent scatterers in SAR interferometry , 1999, Remote Sensing.

[18]  Christina Kluge,et al.  Data Reduction And Error Analysis For The Physical Sciences , 2016 .

[19]  M. Younis,et al.  The TanDEM-X mission: A satellite formation for high-resolution SAR interferometry , 2007, 2007 European Radar Conference.

[20]  Michael Eineder,et al.  Multi baseline SAR acquisition concepts and phase unwrapping algorithms for the TanDEM-X mission , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.