in fact, sar image speckle suppression is an inverse problem.
在最后研究了sar图像斑点噪声抑制的本质。
therefore, the suppression sar image speckle noise, is an important issue of sar imaging applications.
因此,抑制sar图像的相干斑噪声,是sar图像应用的重要课题。
the result shows that the algorithm filters the sar image speckle noise efficiently, meanwhile it has much stronger ability to maintain the detail information.
结果表明,该算法在有效滤除sar图像斑点噪声的同时,有更强的图像细节信息保持能力。
and then addressing sar image speckle denoising, this dissertation proposed a new method based on bivariate shrinkage function combined with enhancement of wavelet significant coefficients.
其次针对sar图像相干斑抑制问题,提出一种双变量收缩函数与小波系数显着性增强相结合的sar图像的斑点抑制算法。