Shear wave processing-based Gaofen-3 SAR image riparian line detection method

The invention relates to a shear wave processing-based Gaofen-3 SAR (Synthetic Aperture Radar) image riparian line detection method, comprising the following steps: 1, performing noise reduction processing on a Gaofen-3 SAR image in advance by using non-local mean filtering; 2, performing logarithm transformation on the Gaofen-3 SAR image after noise reduction in the step 1; 3, performing riparianline edge detection on the image subjected to logarithm transformation in the step 2 by using non-subsampled shear wave transformation; 4, performing exponential transformation on the image processedin the step 3; 5, performing binarization processing on the image after exponential transformation in the step 4 to obtain a binary image, and performing edge refinement processing on the binary image; and 6, removing a pseudo edge caused by spot interference in the image in the step 5 to obtain a final result. According to the shear wave processing-based Gaofen-3 SAR image riparian line detection method, technologies suc