Forest Parameters Inversion with the Support of Compensation Information of Radar Polarization Orientation Angle

doi:10.13485/j.cnki.11-2089.2014.0151

Abstract

Abstract:

Polarization characteristics of scatterers are affected by the difference polarization orientation angle (POA), which influences the scattering matrix. Coherences with difference polarization states, which are important statistic data for Polarimetric SAR interferometry (PolInSAR) technology, are estimated by scattering matrix and applied to inversion of vegetation parameters using the coherence scatter model. Based on the generation mechanism of polarization orientation angle, the estimation model of complex coherence is constructed in view of compensation of polarization orientation angle. And then, complex coherences with difference estimation methods and difference scatter mechanisms are analyzed under the influence of compensation of polarization orientation angle. The relation between the compensation of polarization orientation angle and the forest parameters inversion is revealed by fitted coherence line with the model of there stage inversion. Using Quad-pol SIRC L -band SAR data, it is feasible for improvement the accuracy of complex coherence estimation and forest parameters inversion under the compensation of polarization orientation. The experiment results show that the distribution of difference polarization states can be changed with polarization orientation angle. With the compensation of polarization orientation angle, the accuracy of fitted coherence line is improved, and so the reliability and rationality of forest parameters inverted by three stage model can be improved.

Key words: compensation of polarization orientation angle, PolInSAR, coherence, three-stage method, forest parameters

CLC Number:

P237.3

LONG Jiangping DING Xiaoli WANG Changcheng. Forest Parameters Inversion with the Support of Compensation Information of Radar Polarization Orientation Angle[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(10): 1051-1060.

References

[1]J S Lee, D L Sehuler, T L Ainsworth. Polarimetric SAR Data Compensation for Terrain Azimuth Slope Variation[J]．IEEE Trans On GRS，2000，38(5)：2153-2163．
[2]D L. Schuler, Jong-Sen Lee. Measurement of topography using polarimetric SAR Images [J]. IEEE Trans On GRS,1996,34(5): 1266-1277.
[3]J S Lee, D L Sehuler, T L Ainsworth. On the Estimation of Radar Polarization Orientation Shifts Induced by Terrain Slopes [J]．IEEE Trans On GRS，2002，40(1)：30-40．
[4]Krogager E． Aspects of polarimetric radar imaging[D]．Denmark: Denmark University，1993．
[5]Cloude S R, Pottier E.A review of target decomposition theorems in radar polarimetry [J].IEEE Trans. Geoscience and Remote Sensing,1996,34(3):498-518．
[6]Cameron W L, Leung L K. Feature motivated polarization scattering matrix decomposition. IEEE International Radar Conference, Arlington, VA: IEEE, 1990, 549-557.
[7]Xu F, Jin Y. Deorientation theory of polarimetric scattering targets and application to terrain surface classification. IEEE Trans. Geosci. Remote Sens., 2005, 43(10): 2351-2364.
[8] An Wentao. The Polarimetric Decomposition and Scattering Characteristic Extraction of Polarimetric SAR[D]. Tsinghua University,2010.(安文涛.极化分解与散射特征提取研究[D].清华大学，2010.)
[9]CHEN Qiang, SUN Wen-Feng, JIANG Jing. An Approximate Estimation of Radar Polarization Orientation Angle by Terrain Slopes [J]. Journal of Air Force Radar Academy, 2005,19(3):8-11.
(陈强，孙文峰等.用于地面坡度测量的极化SAR方位角近似估计方法[J].空军雷达学报,2005,19(3):8-11.)
[10]Wang Chunle，Yu Weidong．Comparative analyses of Huynen target decomposition methods[J]．Journal of the Graduate School of the Chinese Academy of Sciences，2011，28(3)：402-409．(王春乐,禹卫东. Huynen类型目标分解方法的比较与分析[J].中国科学院研生,2011,28(3):402-409.)
[11]CHEN Xi, ZHANG Hong, WANG Chao. Estimation of the Polarization Orientation Angle Shifts Induced by Terrain Slopes, Remote Sensing Technology and Application[J],2007,22(1):59-64.(陈曦,张红等.由地形坡度引起的极化方位角偏移的估计[J].遥感技术与应用,2007,22(1):59-64.)
[12]XU Mu, WANG Xuesong, Xiao Shunping, DAI Dahai. Target Enhancement in High-resolution POLSAR
Imagery Using Polarization Orientation Angle Feature [J].Signal Processing, 2008,24(1):19-23.(徐牧,王雪松等.利用极化方位角特征的高分辨极化SAR目标增强研究[J].信号处理,2008,24(1):19-23.)
[13]S.Cloude. K. Papathanassiou. Polarimetric SAR Interferometry[J].IEEE Transactions on Geoscience and Remote Sensing .1998:1551-1565.
[14]TAN Lulu, CHEN Bing, YANG Ruliang. Improved Three-stage Algorithm of Tree Height Retrieval with PolInSAR Data [J].Journal of System Simulation, 2010, 22(4):996-999.( 谈璐璐，陈兵，杨汝良．利用POLInSAR数据反演植被高度的改进三阶段算法[J]．系统仿真学报．2010,22(4): 996-999.)
[15]T.Flynn, M.Tabb, and R.Caranda. Coherence region shape extraction for vegetation parameter estimation in polarimtric SAR interferometry[C].In Proceedings of IEEE IGARSS,volume 5,Toronto,2002.6:2596-2598.
[16]M.Tabb.J.Orrey,T.Flynn and R.Caranda. Phase diversity:a decomposition vegetation parameter estimation using polarimetric SAR interferometry[C].In Proceedings of EUSAR,cologne, 2002.6:721-724.
[17]L.Sagues, J.M.Lopez-Sanchez,J.Fortuny et al. Indoor experiments on polarimetric SAR interferometry. IEEE Transactions on Geoscience and Remote, 38, 2000, 3:671-684.
[18]M .Neumann, A.Reigber and L.Ferro-Famil.POLInSAR Coherence Set Theory and Application[C].In Proceedings of the European Conference on Synthetic Aperture Radar, Dresden,Germany,2006.6
[19]Yang Jie, Zhao Lingli, Shi Lei, et al. Interpretation of Oblique Buildings Based on Optimal Polarimetric coherence coefficient[J]. Acta Geodaetica et Cartographica Sinica, 2012,41(4):577-583.( 杨杰，赵伶俐，史磊，等．基于最优极化相干系数的倾斜建筑物解译研究[J].测绘学报，2012,41(4):577-583.)
[20] Lang Fengkai,Yang Jie,Zhao Lingli,et al.Polarimetric SAR Data Clssification with Freeman Entropy and Anisotropy Analysis[J]. Acta Geodaetica et Cartographica Sinica, 2012,41(4):556-562. (郎丰铠，杨杰，赵伶俐，等．基于Freeman散射熵和各向异性度的极化SAR影像分类算法研究[J]．测绘学报，2012,41(4):556-562.)