A SAR Active Jamming Detection Method Based on Image Grayscale Features

In response to the problem that the validation and evaluation of SAR active jamming effectiveness is more complicated and target detection of SAR image is seldom applied to active jamming, a method of SAR image active jamming detection based on image grayscale features is proposed in this paper. Herein, the principle and process of SAR image target detection algorithm processing, based on pulse coupled neural network are discussed. Through the simulation experiment, the active jamming region can be detected in the SAR jamming image.