SAR图像中PS点的识别与选取

提出一种基于小波相位分析的永久散射体(persistent scatterer, PS)的识别与选取方法. 该方法将小波理论引入到PS点识别与选取中，利用基于小波相位分析的差分干涉图滤波方法，首先对差分干涉相位图进行滤波处理，然后估算滤波后各PS候选点的噪声相位、衡量指标以及各PS点的概率，从而在兼顾各PS候选点幅度和相位的稳定性基础上实现SAR图像中PS点的有效识别与选取. 理论分析和实验结果表明，该方法识别与选取的PS点是有效而且可靠的.

Identification and Selection of Persistent Scatterer Pixels from SAR Images

This paper presents a new method for identification and selection of persistent scatterer (PS) pixels in SAR images based on wavelet phase analysis. The wavelet filtering theory is introduced into the PS pixel identification and selection. The differential phase interferograms are filtered using the interferogram filtering method based on the wavelet phase analysis. Noise phase and its indicator, and probability of candidate PS pixels are then estimated. Taking into account stability of the amplitude and phase of the candidate PS pixels, the PS pixels are effectively identified and selected from the SAR image. Theoretical analysis and experimental results show that the PS pixels identified and selected using the proposed method are effective and reliable.