论文部分内容阅读
论述了小波包分解和重构的基本理论以及利用小波包分析对信号进行消除噪声的基本方法.针对目前采用中值滤波方法和均值滤波方法的局限,提出了一种基于小波包分析的InSAR干涉相位图滤波算法以改善滤波效果,采用熵标准实现最佳分解.选取三峡地区的两幅相干图像进行滤波实验,实验结果是:采用中值滤波方法滤波后的残差点数为4952点和86058点,而采用小波包分析方法滤波的干涉相位的残差点数为524点和14225点.图3,表1,参10.
The basic theory of wavelet packet decomposition and reconstruction and the basic method of noise elimination using wavelet packet analysis are discussed.Aiming at the limitations of the current median filtering method and mean filtering method, an InSAR interference based on wavelet packet analysis Phase map filter algorithm to improve the filtering effect, the use of entropy standard to achieve the best decomposition.Select two coherent images of the Three Gorges region to filter experiments, the experimental results are: the median filtering method to filter the residual points 4952 points and 86058 points , While the number of residuals of interferometric phase filtered by wavelet packet analysis is 524 and 14225. Figure 3, Table 1, Reference 10.