中文摘要：

提出了一种三层组合滤波的去噪方法，在小波BayesShrink阈值与自适应中值滤波的基础上增加第三层Wiener滤波，利用Wiener滤波对信噪比高的信号去噪效果好的特点可有效去除残留的混合噪声，为了在去噪过程中保留影像的边缘，在滤波过程中加入了边缘提取算法，对影像的细节进行保留使去噪后的影像更加清晰。试验表明，本文提出的三层滤波方法在去除遥感影像常见的高斯与脉冲混合噪声时，效果要明显优于传统的两层组合滤波算法。

英文摘要：

Two layers of composite filter is a common way to remove mixed Gaussian and impulse noise in the image. Such methods do not consider the interaction between the two different layers and the shortcoming on the choice of filter threshold, thus the residual mixed noise is unavoidable, and filte- ring process is going to smooth the edge details of the image, leads to image observation fuzzy. So this paper proposes a method of de-noising that has three layers combination filter. Adaptive Wiener filte ring is added to the third layer based on the wavelet BayesShrink threshold de-noising and the adaptive median filtering de-noising, this take the advantage of Wiener filtering in processing the noise when the signal is high SNR（signal noise ratio）. In order to reserve the edge details of image in the de-noi sing process, this paper also uses edge detection operator, therefore the details are retained and the de-noising result is more sharpening. Experimental results show that the proposing method of triple layer composite filter is better than two layers of filter in de-noising the mixed Gaussian and impulse noise of remote sensing image.