Stealth Target Recognition And Information Processing Based On Millimeter Wave

Stealth target recognition technology based on millimeter wave has been a research hotspot at home and abroad in recent years.In this paper,the radiation characteristics of metal targets under millimeter waves are used to study the stealth target recognition algorithms under millimeter waves,and their images are enhanced and extracted.Stealth target recognition and information processing based on millimeter wave,the research work of this paper is as follows:(1)Based on the theory of millimeter wave radiation,a planar metal target model and a solid metal target model are established.Radiation values of plane metal,three-dimensional armored targets and stealth targets detected by millimeter wave were collected through experiments,and the radiation characteristics of stealth targets were analyzed.(2)The stealth target recognition algorithm is researched according to the radiation characteristics of the target under millimeter wave.The random forest method is first used to identify the stealth target.The radiant energy data of the millimeter wave is obtained through experiments.The data is input into the random forest recognition algorithm.The millimeter wave stealth target is identified and simulated to verify the existence of the random forest method from the results.The problem.In order to make up for the shortcomings of the random forest algorithm,a convolutional neural network algorithm is proposed to identify stealth targets.The preprocessed data is input into a convolutional neural network and algorithm recognition and simulation verification of the stealth target of the millimeter wave are performed.This algorithm makes up for the shortcomings of the random forest algorithm,and finally achieves better recognition results.(3)In order to make the feature extraction of the stealth target of the millimeter wave better,the whole process is divided into three parts for imageprocessing: First,adjusting the image contrast through grayscale processing,and filtering to remove noise in the image;Second,using an improved image segmentation algorithm Realize the complete separation of the stealth target from the background;Finally,the edge loss of the restored image is processed by morphology to achieve the extraction of the contour edges of the target and the determination of the position.At last,this paper has achieved ideal results in the recognition algorithm of stealth target based on millimeter wave and the image information processing of stealth target based on millimeter wave.