电子学报2024，Vol.52Issue(12)：4023-4036,14.DOI:10.12263/DZXB.20231144
DABP:一种基于深度学习的探地雷达自聚焦后向投影成像方法
DABP:A Deep Learning Based Auto Focusing Back Projection Imaging Method for Ground Penetrating Radar
摘要
Abstract
As a non-destructive electromagnetic detection technology,ground penetrating radar(GPR)has been wide-ly used in municipal engineering,transportation,military and other fields.In the complex underground environment,the propagation law of electromagnetic wave becomes complicated,and the dielectric constant of background medium is diffi-cult to be accurately obtained.Back projection(BP)imaging algorithm needs to predict the relative dielectric constant of the background media and calculate the scattering intensity of each imaging grid one by one,so the calculation efficiency is low.This paper puts forward the imaging method of deep learning based auto focusing BP(DABP).Firstly,a region of in-terest(ROI)detection module is designed.Based on the sparse space characteristics of underground targets,by combining YOLOX network and BP imaging mechanism,the potential target region is quickly detected,and only the imaging grid in the region is processed,which avoids the global back projection calculation and greatly reduces the amount of computation.Secondly,aiming at the problem that BP imaging is difficult to focus when the dielectric constant is unknown,an auto fo-cusing BP(AF-BP)imaging module is designed,BS-YOLOv5 network and corresponding data set are constructed,and di-electric constant estimation and auto focusing imaging of underground media based on improved dichotomy are realized.Then,an artifact suppression based on double threshold and integral focusing(DTIF)module is designed to further improve the focusing degree of imaging results.Compared with BP imaging method,ISLR index of simulation data decreased by 250%and SCR index increased by 131%.ISLR index of measured data imaging results decreased by 322%,SCR index in-creased by 72%,and imaging speed of simulation experiment and measured experiment increased by 300%,which verified the effectiveness of the proposed method in improving GPR imaging efficiency and imaging quality.关键词
探地雷达/深度学习/后向投影/自聚焦成像/伪影抑制Key words
ground penetrating radar/deep learning/back projection/auto focusing imaging/artifact suppression分类
信息技术与安全科学引用本文复制引用
雷文太,隋浩,姜和俊,吕荣其..DABP:一种基于深度学习的探地雷达自聚焦后向投影成像方法[J].电子学报,2024,52(12):4023-4036,14.基金项目
近地面探测技术重点实验室基金(No.6142414221605) Foundation Project of Science and Technology on Near-Surface Detection Laboratory(No.6142414221605) （No.6142414221605）
