Polarimetric synthetic aperture radar interferometry (PolInSAR) data procedures and their application are based on the estimation of polarimetric complex coherence, which are influenced by size of windows and filter methods. In this paper, the adaptive refined Lee filter, which based on traditional refined Lee filter, is used to estimate the interferometric coherence. The size of filter window is changed by the correlation coefficient between the central sub window and the neighboring sub window. Correlation coefficient which is larger than the threshold value means to the homogeneous pixels in the selected window, and then boxcar filter is chosen to estimate complex coherence. When maximum of correlation coefficient in difference windows sizes is smaller than the threshold value, the refined Lee filter is used to estimate the complex coherence. The efficiency and advantage of the new algorithm are demonstrated with E-SAR data sets. The results show that the influence of speckle noise and edge information is improved; more accurate complex coherence estimated by selected window size and selected pixels increase the accurate of forest parameters inversion.
LONG Jiangping
,
DING Xiaoli
,
WANG Changcheng
. Complex Coherence Estimation Based on Adaptive Refined Lee Filter[J]. Acta Geodaetica et Cartographica Sinica, 2015
, 44(12)
: 1331
-1339
.
DOI: 10.11947/j.AGCS.2015.20140483
[1] CLOUDE S R. Polarisation: Applications in Remote Sensing[M]. Oxford: Oxford University Press, 2009.
[2] LEE J S, GRUNES M R, De GRANDI G. Polarimetric SAR Speckle Filtering and Its Implication for Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 1999, 37(5): 2363-2373.
[3] VASILE G, TROUVE E, CIUC M, et al. Intensity-driven-adaptive-neighborhood Technique for PolSAR Parameters Estimation[C]//Proceedings of the 2005 IEEE International Geoscience and Remote Sensing Symposium. Seoul: IEEE, 2005, 8: 5509-5512.
[4] VASILE G, TROUVE E, LEE J S, et al. Intensity-driven Adaptive-neighborhood Technique for Polarimetric and Interferometric SAR Parameters Estimation[J]. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44(6): 1609-1621.
[5] VASILE G, OVARLEZ J, PASCZL F, et al. Coherency Matrix Estimation of Heterogeneous Clutter in High-Resolution Polarimetric SAR Images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(4): 1809-1826.
[6] LEE J S, CLOUDE S R, PAPATHANASSIOU K P, et al. Speckle Filtering and Coherence Estimation of Polarimetric SAR Interferometry Data for Forest Applications[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(10): 2254-2263.
[7] LI Ying, ZHENG Yongguo. An Improved Enhanced Lee Filter Algorithm[J]. Computer Applications and Software, 2012, 29(7): 243-245. (李莹, 郑永果. 一种改进的增强Lee滤波算法[J]. 计算机应用与软件, 2012, 29(7): 243-245.)
[8] OUYANG Qundong, WU Zhaocong, PENG Jiangui. An Improved Method of Lee Refined Polarized Filter[J]. Science of Surveying and Mapping, 2011, 36(5): 136-138. (欧阳群东, 巫兆聪, 彭检贵. 一种改进的精制极化Lee滤波算法[J]. 测绘科学, 2011, 36(5): 136-138.)
[9] LANG Fengkai, YANG Jie, LI Deren. An Adaptive Enhanced Lee Speckle Filter for Polarimetric SAR Image[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(7): 690-697. (郎丰铠, 杨杰, 李德仁. 极化SAR图像自适应增强Lee滤波算法[J]. 测绘学报, 2014, 43(7): 690-697.)
[10] FLYNN T, TABB M, CARANDE R. Coherence Region Shape Extraction for Vegetation Parameter Estimation in Polarimetric SAR Interferometry[C]//Proceedings of the 2002 IEEE International Geoscience and Remote Sensing Symposium, 2002. Toronto, Ontario: IEEE, 2002, 5: 2596-2598.
[11] TABB M, ORREY J, FLYNN T, et al. Phase Diversity: A Decomposition for Vegetation Parameter Estimation Using Polarimetric SAR Interferometry[C]//Proceedings of EUSAR. Cologne: [s.n.], 2002, 2: 721-724.
[12] LEE J S, POTTIER E. Polarimetric Radar Imaging: From Basic to Applications[M]. New York: CRC Press, 2009.
[13] JIANG Yong, ZHANG Xiaoling, SHI Jun. Speckle Reduction for Polarimetric SAR Images by Improved Lee Filter[J]. Journal of University of Electronic Science and Technology of China, 2009, 38(1): 5-8. (江勇, 张晓玲, 师君. 极化SAR改进Lee滤波相干斑抑制研究[J]. 电子科技大学学报, 2009, 38(1): 5-8.)
[14] YANG Dahai, MA Debao. Refined Polarimetric SAR Speckle Lee Filtering Algorithm Based on Relativity of Polarization Vector[J]. Journal of Information Engineering University, 2011, 11(6): 737-740. (杨大海, 马德宝. 基于极化矢量相似系数的极化Lee滤波改进算法[J]. 信息工程大学学报, 2011, 11(6): 737-740.)
[15] CLOUDE S R, PAPATHANASSIOU K P. Polarimetric SAR Interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 1998, 36(5): 1551-1565.
[16] LOPEZ-MARTINEZ C, FABREGAS X. Model-based Polarimetric SAR Speckle Filter[J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(11): 3894-3907.
[17] 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.)
[18] NEUMANN M, REIGBER A, FERRO-FAMIL L. PolInSAR Coherence Set Theory and Application[C]//Proceedings of the European Conference on Synthetic Aperture Radar. Dresden: [s.n.], 2006.
[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] GU Jing, YANG Jian, ZHANG Hao, et al. Speckle Filtering in Polarimetric SAR Data Based on the Subspace Decomposition[J]. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(8): 1635-1641.
