{"title":"基于信号子空间法的探地雷达b扫描图像地下精细结构测量","authors":"T. Sun, Z. C. Zhang, B. Song, X. J. Tang, S. Liu","doi":"10.1109/ICGPR.2016.7572593","DOIUrl":null,"url":null,"abstract":"Ground Penetrating Radar (GPR) is an efficient remote sensing tool for geophysical subsurface survey. These structure characteristics are recorded in radar signal profiles by means of echo detection, amplitude and phase estimation. Besides the energy attenuation and absorption of GPR EM pulse during its propagating downward direction into the ground from a transmitting antenna, the strong interferences, clutters, multiples and random noise, often make the fine-structures hardly distinguishable. This paper develops a signal subspace method to detect fine fractures, leading to water intrusion at the Dazu Rock Carving site. With field surveying data, this method is validated to detect sub-surface fine structure with sparse representation and yields discriminative fracture signature for geological interpretation.","PeriodicalId":187048,"journal":{"name":"2016 16th International Conference on Ground Penetrating Radar (GPR)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Subsurface fine structures survey by GPR B-scan image based on signal subspace method\",\"authors\":\"T. Sun, Z. C. Zhang, B. Song, X. J. Tang, S. Liu\",\"doi\":\"10.1109/ICGPR.2016.7572593\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ground Penetrating Radar (GPR) is an efficient remote sensing tool for geophysical subsurface survey. These structure characteristics are recorded in radar signal profiles by means of echo detection, amplitude and phase estimation. Besides the energy attenuation and absorption of GPR EM pulse during its propagating downward direction into the ground from a transmitting antenna, the strong interferences, clutters, multiples and random noise, often make the fine-structures hardly distinguishable. This paper develops a signal subspace method to detect fine fractures, leading to water intrusion at the Dazu Rock Carving site. With field surveying data, this method is validated to detect sub-surface fine structure with sparse representation and yields discriminative fracture signature for geological interpretation.\",\"PeriodicalId\":187048,\"journal\":{\"name\":\"2016 16th International Conference on Ground Penetrating Radar (GPR)\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 16th International Conference on Ground Penetrating Radar (GPR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICGPR.2016.7572593\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 16th International Conference on Ground Penetrating Radar (GPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICGPR.2016.7572593","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Subsurface fine structures survey by GPR B-scan image based on signal subspace method
Ground Penetrating Radar (GPR) is an efficient remote sensing tool for geophysical subsurface survey. These structure characteristics are recorded in radar signal profiles by means of echo detection, amplitude and phase estimation. Besides the energy attenuation and absorption of GPR EM pulse during its propagating downward direction into the ground from a transmitting antenna, the strong interferences, clutters, multiples and random noise, often make the fine-structures hardly distinguishable. This paper develops a signal subspace method to detect fine fractures, leading to water intrusion at the Dazu Rock Carving site. With field surveying data, this method is validated to detect sub-surface fine structure with sparse representation and yields discriminative fracture signature for geological interpretation.