Experiments of Tomography-based SAR Techniques with P-band Polarimetric Data

New opportunities are arising in the synthetic aperture radar (SAR) observation of forest scenarios, especially with decimetric and metric radio wavelengths, which possess the capability of penetrating into volumes. Given its capabilities in the three-dimensional imaging of the scattering properties of the observed scene, SAR Tomography (Tomo-SAR) constitutes a good candidate for the analysis of the vertical structure of the forest. In this work, the results are presented of the application of tomography-based SAR techniques to P-band airborne data over a boreal forest from the ESA BioSAR-1 project. Results of an adaptive tomographic analysis are presented, also with a low resolution dataset, which emulates a satellite acquisition. In order to mitigate the geometric perspective effects due to the poor range resolution, the principle is introduced of the application of a common band pre-filtering to tomography. Then, a coherent layer canceller is derived to possibly apply interferometric techniques conceived for single layer scenarios to two layer scenarios. Finally, a stabilized adaptive polarimetric Tomo-SAR (PolTomo-SAR) method is proposed for estimating the 3D polarimetric scattering mechanism of the scene with low distorsions.

[1]  Andreas Reigber,et al.  Scatterer characterisation using polarimetric SAR tomography , 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

[2]  Francesco Soldovieri,et al.  Three-dimensional focusing with multipass SAR data , 2003, IEEE Trans. Geosci. Remote. Sens..

[3]  Laurent Ferro-Famil,et al.  Multi-aspect POL-InSAR 3D Urban Scene Reconstruction at L-Band , 2008 .

[4]  Joachim H. G. Ender,et al.  Experiments of interferometric layover solution with the three-antenna airborne AER-II SAR system , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

[5]  Kostas Papathanassiou,et al.  First demonstration of airborne SAR tomography using multibaseline L-band data , 1999, IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293).

[6]  F. Gini,et al.  Sector interpolation for 3D SAR imaging with baseline diversity data , 2007, 2007 International Waveform Diversity and Design Conference.

[7]  S. Tebaldini Forest SAR tomography: A covariance matching approach , 2008, 2008 IEEE Radar Conference.

[8]  Fabio Rocca,et al.  The wavenumber shift in SAR interferometry , 1994, IEEE Trans. Geosci. Remote. Sens..

[9]  Harry L. Van Trees,et al.  Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory , 2002 .

[10]  Harry L. Van Trees,et al.  Optimum Array Processing , 2002 .

[11]  Claudio Prati,et al.  Improving slant-range resolution with multiple SAR surveys , 1993 .

[12]  B. Law,et al.  Vegetation profile estimates from multialtitude, multifrequency radar interferometric and polarimetric data , 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

[13]  A. Reigber,et al.  Adaptive spectral estimation for multibaseline SAR tomography with airborne L-band data , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[14]  F. Gini,et al.  Layover solution in multibaseline SAR interferometry , 2002 .