Despeckling of High Resolution SAR Image Based on Enhanced GIW Algorithm

摘要：

In high resolution SAR images, system immanence speckle noise becomes more remarkable, forming a bottleneck of the SAR application fields. In this paper, an enhanced gradient inverse weighted despeckling algorithm (EGIW) will be presented. According to the local statistical properties of the image, an statistical enhanced fdter strategy will be made: for the regions with full developed speckle noise, a modified GIW filter will be applied, benefiting from the gray smoothness on homogeneous regions and discontinuities between neighboring regions, and as for the uniform regions, a simple mean filter will be used, as well as the gray retaining for the expand target region with high reflection properties. The experiment results with objective measurements indicated that the proposed method can efficiently despeckle the high resolution SAR images, thus, outperforms the common-used methods, such as the mean fdter, the GammaMAP filter, the wavelet based method and the GIW algorithm.

关键词： High resolution SAR image speckle noise gradient inverse weighted filter uniform region speckle full developed region expand target region

作者: Weiping Ni Weidong Yan Hui Bian Junzheng Wu Ying Lu

作者单位: Northwest Institute of Nuclear Technology, Xian Shanxi, 710024 China

会议类型: 国际会议

会议名称: 2010 International Conference on Image Analysis and Signal Processing(2010 图像分析与信号处理国际会议 IASP 10)

会议地点: 厦门

会议语种:英文

页码: 50-55

在线出版日期: 2010-04-12（万方平台首次上网日期，不代表论文的发表时间）