关键词: 合成孔径雷达（SAR）图像, 相干斑抑制, 幅度关联, 频谱统计相似度

Abstract: It is difficult to preserve the edge and structure information while suppressing the speckle for Synthetic Aperture Radar（SAR） image despeckling. To resolve this issue, the intensity association method for SAR image despeckling is proposed. Pixels are separated into two parts using intensity association method with global threshold. And then the part with larger number of pixels is selected to estimate the value of the center pixel using Maximum Likelihood（ML） estimation. Furthermore, an evaluation method based on statistical spectrum similarity is also proposed for SAR despeckling evaluation. Simulations and real SAR images are processed to demonstrate the validity of proposed method.

Key words: Synthetic Aperture Radar（SAR）image, speckle reduction, intensity association, statistical spectrum similarity