{"title":"基于钻孔数字光学图像和探地雷达的结构面参数提取方法","authors":"L. Li, F. Long, T. Sun, Z. Han, X. Tang, W.Z. Ren","doi":"10.1109/ICGPR.2018.8441576","DOIUrl":null,"url":null,"abstract":"This paper combines the borehole ground penetrating radar imaging and digital optical borehole imaging, presents an efficient method to recognize and extract the structural planes parameters of rock mass. In this method, it's necessary to transform the digital optical image in color modeling. Processing such as segmentation and edge refinement are essential steps. Afterwards, matching algorithm is employed by using a transform of sinusoidal curve to extract the fitting parameters. Finally, the image feature data acquired by the borehole GPR image is integrated for verification. With this method, the physical and geometrical characteristics of the rock mass at and around the borehole can be revealed. It can effectively exert the respective characteristics of the two exploration technologies to identify the structural planes in a continuous and rapid way. It has proven highly reliable and efficient.","PeriodicalId":269482,"journal":{"name":"2018 17th International Conference on Ground Penetrating Radar (GPR)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Structural Planes Parameters Extraction Method Based on Borehole Digital Optical Image and GPR\",\"authors\":\"L. Li, F. Long, T. Sun, Z. Han, X. Tang, W.Z. Ren\",\"doi\":\"10.1109/ICGPR.2018.8441576\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper combines the borehole ground penetrating radar imaging and digital optical borehole imaging, presents an efficient method to recognize and extract the structural planes parameters of rock mass. In this method, it's necessary to transform the digital optical image in color modeling. Processing such as segmentation and edge refinement are essential steps. Afterwards, matching algorithm is employed by using a transform of sinusoidal curve to extract the fitting parameters. Finally, the image feature data acquired by the borehole GPR image is integrated for verification. With this method, the physical and geometrical characteristics of the rock mass at and around the borehole can be revealed. It can effectively exert the respective characteristics of the two exploration technologies to identify the structural planes in a continuous and rapid way. It has proven highly reliable and efficient.\",\"PeriodicalId\":269482,\"journal\":{\"name\":\"2018 17th International Conference on Ground Penetrating Radar (GPR)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"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.2018.8441576\",\"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.2018.8441576","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Structural Planes Parameters Extraction Method Based on Borehole Digital Optical Image and GPR
This paper combines the borehole ground penetrating radar imaging and digital optical borehole imaging, presents an efficient method to recognize and extract the structural planes parameters of rock mass. In this method, it's necessary to transform the digital optical image in color modeling. Processing such as segmentation and edge refinement are essential steps. Afterwards, matching algorithm is employed by using a transform of sinusoidal curve to extract the fitting parameters. Finally, the image feature data acquired by the borehole GPR image is integrated for verification. With this method, the physical and geometrical characteristics of the rock mass at and around the borehole can be revealed. It can effectively exert the respective characteristics of the two exploration technologies to identify the structural planes in a continuous and rapid way. It has proven highly reliable and efficient.