SAR Image Edge Detection Based on Local Hybrid Filter

A SAR image detection method is proposed based on local hybrid filter. This method combines the advantages of both local hybrid filter based NonSubsampled Direction Filter Bank-Dual-Tree Complex Wavelet Transform (NSDFB-DTCWT) and Dempster-Shafet (DS) evidence theory. First, local hybrid filter is applied to SAR image. Then edge strength is got by using Ratio Of Exponentially Weighted Averages (ROEWA) operator and edge direction is got by using Canny operator at every scale from NSDFB-DTCWT. Finally, DS theory is used to fuse the edge in all scales to get the whole edge of the original SAR image. The experimental results demonstrate its effectiveness and superiority in terms of edge positioning accuracy and integrity, and it also has a fewer false edge points.