Radar image edge detection algorithm based on improved LOG operator
The edge contour of fixed ground clutter in radar images plays an important role in moving target detection.In order to solve the problem that the traditional LOG edge detection algorithm is sensitive to noise in radar image edge detection,which is easy to affect the extraction of image edge contour information,an improved LOG edge detection algorithm is proposed.Firstly,the improved mean filtering and bilateral filtering is used to smooth and denoise the image.Then Laplacian operator is used to calculate the second order directional deriva-tive,and the zero crossing point is calculated to obtain the edge position information of the image,so as to obtain the continuous and complete edge contour of the ground object.Finally,comparative experiments are conducted on the radar images processed by the original LOG and the improved LOG algorithm.The experimental results show that,in the strong clutter environment,compared with the original LOG algorithm,the improved LOG algo-rithm can improve the edge detection accuracy and the continuity of the image edge,thus able to increase the de-tection probability of the radar targets.