收稿日期: 2013-04-27
修回日期: 2013-05-30
网络出版日期: 2014-07-15
基金资助
国家高技术研究发展（863）计划（2011AA120401）资助
Three-component decomposition for compact polarimetric interferometric SAR
Received date: 2013-04-27
Revised date: 2013-05-30
Online published: 2014-07-15
提出利用合成孔径雷达简缩极化干涉数据的目标分解方法. 将全极化干涉目标分解方法扩展到简缩极化干涉数据处理，由简缩极化互相关矩阵分解出3种散射分量. 针对简缩极化数据量减少造成的方程欠定问题，利用极化度估计体散射功率，通过遍历简缩极化相干区域寻找最长轴和判断地表相位获得偶次散射相位估计，最终得到各散射分量的功率和相位中心高度的估计. 利用L波段全极化干涉仿真数据合成简缩极化数据集，验证了算法的有效性.
关键词： 简缩极化干涉合成孔径雷达; 目标分解; 极化度; 相干区域
陈琳 , 李洋 , 郭胜龙 , 洪文 . 简缩极化干涉合成孔径雷达三分量目标分解方法[J]. 中国科学院大学学报, 2014 , 31(4) : 537 -542 . DOI: 10.7523/j.issn.2095-6134.2014.04.014
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.
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