基于几何模型的SAR图像斑点噪声的抑制

斑点噪声的抑制一直是合成孔径雷达(SAR)图像处理的重要研究课题。本文利用几何模型对合成孔径雷达图像进行滤波。通过对几何模型除噪性能进行分析,提出了一个数值计算的改进格式。新的迭代格式能较好地保留图像的边缘、尖点和细节信息。最后对合成孔径雷达图像进行去噪实验,与小波阈值除噪、Lee滤波进行比较具有更好的滤波效果。

Speckle Reduction on SAR Images Based Geometric Model

Synthetic Aperture Radar (SAR) images are usually corrupted by speckle noise. It is proposed that speckle noise is suppressed based geometric model. We study the mechanism of a geometric driven edge-preserving image smoothing. A new discrete numerical scheme is introduced. The edges, salient and local detail can be preserved well in images. And this method is also compared with other denoising methods, such as wavelets filter, Lee filter. The numerical results of the application to SAR images demonstrate the good performance based geometric model filtering.