CAJ | 학술논문

针对合成孔径雷达干涉相位滤波问题，提出了一种改进的分块局部最佳维纳滤波算法。该算法是加性高斯白噪声下的线性最小均方误差估计，利用目前图像滤波最前沿的技术———非局部技术，来联合估计图像的一、二阶矩。针对干涉相位中噪声的空变性，在应用中提出了两点改进：估计噪声的标准差时，用均值代替中值；根据噪声标准差的最大值和均值的比值，自适应地确定类的数量。仿真和实测数据表明，改进后的分块局部最佳维纳滤波算法是有效的，并优于其他三种算法。
침대합성공경뢰체간섭상위려파문제，제출료일충개진적분괴국부최가유납려파산법。해산법시가성고사백조성하적선성최소균방오차고계，이용목전도상려파최전연적기술———비국부기술，래연합고계도상적일、이계구。침대간섭상위중조성적공변성，재응용중제출료량점개진：고계조성적표준차시，용균치대체중치；근거조성표준차적최대치화균치적비치，자괄응지학정류적수량。방진화실측수거표명，개진후적분괴국부최가유납려파산법시유효적，병우우기타삼충산법。
Based on the interferometric phase filtering problem of synthetic aperture radar,a modified patch-based locally optimal wiener algorithm was proposed.The proposed algorithm was the linear minimum mean square error estimator under the Gaussian additive noise condition and jointly estimated the first moment and second moment of the image,namely,mean and covariance using non-local means which was the state-of-art technique.When applied to interferometric phase filtering,two modifications were proposed according to the spatial variation of the noise. First,mean value,instead of median value,was used in the estimation of the noise standard deviation.Second,the number of clusters was determined adaptively according to the ratio of the maximum value to the mean value of the noise standard deviation.Experimental results on both simulation and real data show that the modified patch-based locally optimal wiener is effective and is superior to the other three algorithms.