Bayesian Despeckling to SAR Images Based on the Membrane MRF Model

摘要：

SAR imagery can be modeled as the multiplication of the noise-free image and speckle noises. So the noisefree image can be estimated from the observed image with the Bayesian estimation. It’s crucial to choose a proper prior model for well matching the SAR images’ characteristics. In this article the Membrane MRF model is employed to model the prior information, which overcomes the GMRF’s sensitivity to parameters. Simultaneously, the pixels in the homogeneous or in regions with structures are processed by adjusting the model’s neighborhood adaptively. Experiments show that not only the image is despeckled effectively but also the structures are preserved well.

作者: SONG Heng WANG Shi-Xi JI Ke-Feng YU Wen-Xian

作者单位: College of Electric Science and Engineering,NUDT,Changsha,410073,China

会议类型: 国际会议

会议名称: 首届亚太合成孔径雷达会议(1st Asian and Pacific Conference on Synthetic Aperture Radar Proceedings)

会议地点: 安徽黄山

会议语种:英文

在线出版日期: 2007-11-05（万方平台首次上网日期，不代表论文的发表时间）