Method for water object extraction in SAR imagery based on sequential nonlinear filtering
Ping Qin · Computer Engineering and Applications Journal · 2009
For the coherent 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 coherent speckle,how to gain an appropriate threshold is difficult.In this paper,a sequential nonlinear filtering-based method is proposed to extract the water object in SAR imagery automatically.The experimental results using real SAR imagery show that this method can extract water objects in SAR imagery rapidly and accurately.