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作 者:王成浩[1,2] 程丹丹 WANG Cheng-Hao;CHENG Dan-Dan(China Research Institute of Radiowave Propagation,Qingdao 266107,China;Science and Technology on Near Surface Detection Laboratory,Wuxi 214035,China)
机构地区:[1]中国电波传播研究所,山东青岛266107 [2]近地探测技术重点实验室,江苏无锡214035
出 处:《物探与化探》2019年第4期899-903,共5页Geophysical and Geochemical Exploration
基 金:近地面探测技术重点实验室基金开放课题(6142414060112)
摘 要:通过探地雷达进行探雷是一个重要的应用方向,其对非金属地雷或者金属含量少的地雷的探测效果显著。本文针对探地雷达对地雷进行探测时目标特征提取困难的问题,提出了基于马氏距离模板特征的SVM识别算法,并给出了识别结果。该方法能有效提取地雷目标特征,有助于探地雷达数据解释和地雷目标的识别定位。Mine detection by ground penetrating radar is an important application direction,and its detection effect on non-metallic mines or mines with low metal content is remarkable.In this paper,aimed at tackling the problem that the target feature extraction is difficult when the ground penetrating radar detects the mine,the authors propose the SVM recognition algorithm based on the Mahalanobis distance template feature and give the recognition result.This method can effectively extract the target characteristics of mines,and is helpful to data interpretation of ground penetrating radar and recognition and location of mine targets.
分 类 号:P631[天文地球—地质矿产勘探]
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