Bayesian Nonlocal Means Filter for SAR Image Despeckling

摘要：

The nonlocal (NL) means filter as a recent denoising approach has demonstrated its empirical merit for additive Gaussian noise.In this paper,a novel Bayesian nonlocal (BNL) means filter is derived,which is adapted to the multiplicative speckle noise. The new filter is better parameterized using the Bayesian framework,in which a new statistical distance is introduced to measure the similarity of speckled patches. The proposed method is validated on real synthetic aperture radar (SAR) images through comparisons with other classical despeckling methods.

关键词： NL means Bayesian despeckling SAR

作者: Hua Zhong Yongwei Li Licheng Jiao

作者单位: Key Laboratory of Intelligent Perception and Image Understanding of theMinistry of Education of China,Institute of Intelligent Information Processing,Xidian University,Xian,710071,China

会议类型: 国际会议

会议名称: 2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)

会议地点: 西安

会议语种:英文

页码: 1096-1099

在线出版日期: 2009-10-26（万方平台首次上网日期，不代表论文的发表时间）