Journal of University of Chinese Academy of Sciences >
Three-component decomposition for compact polarimetric interferometric SAR
Received date: 2013-04-27
Revised date: 2013-05-30
Online published: 2014-07-15
This paper presents a target decomposition algorithm for compact polarimtric interferometric SAR(C-PolInSAR) data. The method for fully polarimetric interferometric SAR (F-PolInSAR) data is used in treatment of C-PolInSAR, and it decomposes the cross-variance matrix into three components. Due to data reduction, the equations are undetermined. The power of volume scattering is estimated by using the polarization degree, and the phase of double-bounce scattering is derived by searching the longest axis in coherence region and deciding the true ground phase. Then the equations are solved to obtain the power and phase center distribution of each scattering component. C-PolInSAR data is synthesized from simulated L-band F-PolInSAR data to support the algorithm.
CHEN Lin , LI Yang , GUO Shenglong , HONG Wen . Three-component decomposition for compact polarimetric interferometric SAR[J]. Journal of University of Chinese Academy of Sciences, 2014 , 31(4) : 537 -542 . DOI: 10.7523/j.issn.2095-6134.2014.04.014
[1] Raney R K. A perspective on compact polarimetry[J]. IEEE Geoscience and Remote Sensing Society Newsletter, 2011, 160: 12-18.
[2] Freeman A, Durden S L. A three component scattering model to describe polarimetric SAR data[J]. Proc SPIE Radar Polarimetry, 1992, 1748: 213-224.
[3] Ballester-Berman J D, Lopez-Sanchez J M. Applying the Freeman-Durden decomposition concept to polarimetric SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(1): 466-479.
[4] Souyris J-C, Imbo P, Fjortoft R, et al. Compact polarimetry based on symmetry properties of geophysical media: the π/4 mode[J]. IEEE Transactions on Geoscience and Remote Sensing, 2005, 43(3): 634-646.
[5] Souyris J C, Stacy N, Aniworth T L, et al. SAR compact polarimetry (CP) for earth observation and planetology: concepts and challenges, a study case at P band[C]//PolInSAR 2007: Third International Workshop on Science and Applications SAR Polarimetry and Polarimetric Interferometry. Frascati, Rome, Italy, Jan 22-26, 2007: 90-96.
[6] Raney R K. Hybrid-polarity SAR architecture[J]. IEEE Transactions on Geoscience and Remote Sensing, 2005, 45(11): 3397-3404.
[7] Wilsen C B, Sarabandi K, Lin Y C. The effect of tree architecture on the polarimetric and interferometric radar responses[C]//IGARSS. Seattle, WA, Jul 1998, 3: 1499-1501.
[8] Flynn T, Tabb M, Carande R. Coherence region shape extraction for vegetation parameter estimation in polarimetric SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2002, 5(1): 2596-2598.
[9] Truong-Loi M L. Potentials dun systeme RSO basse frequence operant en polarimetrie compacte[M]. Renne: de luniversitede Rennes, 2010: 165,169.
[10] ESA. PolSARproSim[EB/OL][2013-03-05]. http://earth.esa.int/polsarpro/default. html. 2012.
/
| 〈 |
|
〉 |