摘要
噪声抑制的目的之一是减小由噪声引起PolSAR数据极化分解误差。首先利用仿真Po-lSAR数据分析了在噪声抑制过程中典型地物和混合地物的Freeman-Durden分解误差与多视处理程度的关系,给出了不同地物Freeman-Durden分解参数的无偏估计所需的多视处理独立样本数;进一步利用实测ESAR数据分析了不同噪声抑制算法对Freeman-Durden分解参数的影响,实现了图像应用层面的PolSAR噪声抑制效果评估。
One of noise depressing intents is reducing the error of target decomposition for polarimetric SAR. Firstly, multi-look processing effect is proposed with simulative data on three kinds of terrain and mixture media which have emblematical scattering mechanism. And some independent samples which are needed to get approximate unbias decomposition parameters are achieved. Then, several typical PolSAR noise depressing algorithms effect on Freeman-Durden polarimetric decomposition pa- rameter are investigated by ESAR data. The conclusion is achieved that the purpose of effect evaluation on PolSAR image application by potarimetric decomposition parameter is reached.
出处
《电子信息对抗技术》
2013年第1期47-53,76,共8页
Electronic Information Warfare Technology
