PolSAR Image Speckle Reduction Based on Polarimetric Decomposition and Classification

摘要：

On account of the inherent speckle in PolSAR (Polari-metric Synthetic Aperture Radar) images and target scattering properties maintaining after speckle suppressing, an effective algorithm for speckle reduction based on scattering model is developed. First, fast alternative to H/α is used in PolSAR im-age decomposition, and total back-scattering power is comb-ined for initial pixel classification. Then, minimum distance measure and hierarchical cluster method are used for further classification. Finally, pixels are filtered according to their classes. Experimental results with AIRSAR data show that, the new algorithm is more effective than Scattering-Model-Based speckle filter developed by Lee not only in speckle reduction but also in polarimetric properties preservation.

关键词： PolSAR image speckle reduction fast alternative to H/α polarimetric decomposition classification

作者: Ping Han Fei Dong Renbiao Wu

作者单位: Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300 P.R. China

会议类型: 国际会议

会议名称: 2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)

会议地点: 成都

会议语种:英文

页码: 756-759

在线出版日期: 2011-10-24（万方平台首次上网日期，不代表论文的发表时间）