{"title":"基于STFT的探地雷达目标识别研究","authors":"Cheng-Hao Wang, Xian-Lin Liu","doi":"10.1109/ICGPR.2018.8441643","DOIUrl":null,"url":null,"abstract":"Ground Penetrating Radar has been widely used in nondestructive testing, but its interpretation is difficult. This text put forward to the algorithm of recognizing object based on short-time Fourier transform (STFT), the signal is analyzed in time-frequency domain to obtain the rolling spectrum, and then calculated threshold using Otsu arithmetic to convert to binary number, so that the object can be recognized using the algorithm of label connected components. The experiment expressed this algorithm can recognize the object of the GPR signal effectively, and indicated that STFT can improve object recognition greatly.","PeriodicalId":269482,"journal":{"name":"2018 17th International Conference on Ground Penetrating Radar (GPR)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Study of object recognition with GPR based on STFT\",\"authors\":\"Cheng-Hao Wang, Xian-Lin Liu\",\"doi\":\"10.1109/ICGPR.2018.8441643\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ground Penetrating Radar has been widely used in nondestructive testing, but its interpretation is difficult. This text put forward to the algorithm of recognizing object based on short-time Fourier transform (STFT), the signal is analyzed in time-frequency domain to obtain the rolling spectrum, and then calculated threshold using Otsu arithmetic to convert to binary number, so that the object can be recognized using the algorithm of label connected components. The experiment expressed this algorithm can recognize the object of the GPR signal effectively, and indicated that STFT can improve object recognition greatly.\",\"PeriodicalId\":269482,\"journal\":{\"name\":\"2018 17th International Conference on Ground Penetrating Radar (GPR)\",\"volume\":\"89 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 17th International Conference on Ground Penetrating Radar (GPR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICGPR.2018.8441643\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 17th International Conference on Ground Penetrating Radar (GPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICGPR.2018.8441643","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study of object recognition with GPR based on STFT
Ground Penetrating Radar has been widely used in nondestructive testing, but its interpretation is difficult. This text put forward to the algorithm of recognizing object based on short-time Fourier transform (STFT), the signal is analyzed in time-frequency domain to obtain the rolling spectrum, and then calculated threshold using Otsu arithmetic to convert to binary number, so that the object can be recognized using the algorithm of label connected components. The experiment expressed this algorithm can recognize the object of the GPR signal effectively, and indicated that STFT can improve object recognition greatly.
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