基于小波包变换与自适应阈值的SAR图像去噪

SAR Image De-nosing Based on Wavelet Packet Transform and Adaptive Threshold

针对SAR遥感图像在探测、传输过程中受到噪声干扰,不利于对其进行处理的问题,提出一种基于小波包和自适应阂值的SAR图像去噪方法。该方法采用小波包对SAR图像进行分解,与传统的小波分析相比,小波包分析能够提供一种更加精细的分析方法;然后采用自适应阈值的方法去除sAR图像中的噪声。实验结果表明,该算法能有效去除SAR图像中的噪声,在信噪比和主观视觉上都要优于小波去噪的方法。

Aimed at the problem that the SAR remote sensing pictures are interfered by noises during the detection and transmission,a method based on wavelet packet and level dependent adaptive threshold is proposed in this paper. By using this method, the SAR pictures can be decomposed in a more elaborate method compared to the traditional wavelet transform,and then,the noises in the SAR pictures are elimina-ted by the adaptive threshold method. The experiment results show that this method can eliminate the noi-ses in the SAR pictures efficiently; The PSNR and the subjective vision of the results have better perform-ances than the result of wavelet transform method.