期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B6b
页码：237-242
出版社：Copernicus Publications
摘要：For the inherent speckles in SAR imagery, the processing of object extraction becomes more difficult. Using the traditional target extraction arithmetic for optical imagery, we can not get ideal result on SAR imagery. Water object in SAR imagery represents as some continuous region with low lightness and strong speckle noise. The traditional method to extract low lightness object can be implement by segment the imagery to binary imagery using a specify threshold. As the strong effect of the inherent speckle, how to gain an appropriate threshold is difficult. In this paper, the authors propose a sequential nonlinear filtering-based method to extract the water object in SAR imagery automatically. The experimental results using real SAR imagery show that our method can extract water objects in SAR imagery rapidly and accurately
