| China Aero Geophysical Survey and Remote Sensing Center for Natural Resources | Host |
| 地质出版社 | Publish |
| Citation: |
XU Li, FENG Wen-Ya, JIANG Yan-Nan, WANG Jiao, ZHU Si-Xin, QIN Zi-Xin, LI Qin-Lin, ZHANG Shi-Tian. 2023. A technique for automatically extracting regions of interest from ground penetrating radar data of roads based on the row-column variance method. Geophysical and Geochemical Exploration, 47(3): 804-809. doi: 10.11720/wtyht.2023.1161
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A technique for automatically extracting regions of interest from ground penetrating radar data of roads based on the row-column variance method
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Abstract
With the rapid development of the economy and society,traffic loads have increased sharply,gradually causing a series of pavement diseases.Ground penetrating radar (GPR),which is a non-destructive testing technique,can present the echo information of subsurface targets on the GPR profile.The echo information of diseases,such as voids,cavities underneath the pavement,and loosely infilled voids,constitutes a region of interest(ROI) on the GPR profile.The traditional manual ROI extraction method features high technical requirements and high laborious intensity due to massive data.Therefore,this study proposed an automatic ROI extraction method that combines the threshold segmentation data and the row-column variance.The experimental results show that the method proposed in this study can effectively extract the location information of multi-type and multi-target ROIs.This method has great potential for improving road detection efficiency based on GPR. -
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XU Li, FENG Wen-Ya, JIANG Yan-Nan, WANG Jiao, ZHU Si-Xin, QIN Zi-Xin, LI Qin-Lin, ZHANG Shi-Tian. 2023. A technique for automatically extracting regions of interest from ground penetrating radar data of roads based on the row-column variance method. Geophysical and Geochemical Exploration, 47(3): 804-809. doi: 10.11720/wtyht.2023.1161
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