An NSCT-Based Multifrequency GPR Data-Fusion Method for Concealed Damage Detection
Ground-penetrating radar (GPR) is widely employed as a non-destructive tool for subsurface detection of transport infrastructures. Typically, data collected by high-frequency antennas offer high resolution but limited penetration depth, whereas data from low-frequency antennas provide deeper penetra...
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MDPI AG
2024-08-01
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| author | Junfang Wang Xiangxiong Li Huike Zeng Jianfu Lin Shiming Xue Jing Wang Yanfeng Zhou |
| author_facet | Junfang Wang Xiangxiong Li Huike Zeng Jianfu Lin Shiming Xue Jing Wang Yanfeng Zhou |
| author_sort | Junfang Wang |
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| description | Ground-penetrating radar (GPR) is widely employed as a non-destructive tool for subsurface detection of transport infrastructures. Typically, data collected by high-frequency antennas offer high resolution but limited penetration depth, whereas data from low-frequency antennas provide deeper penetration but lower resolution. To simultaneously achieve high resolution and deep penetration via a composite radargram, a Non-Subsampled Contourlet Transform (NSCT) algorithm-based multifrequency GPR data-fusion method is proposed by integrating NSCT with appropriate fusion rules, respectively, for high-frequency and low-frequency coefficients of decomposed radargrams and by incorporating quantitative assessment metrics. Despite the advantages of NSCT in image processing, its applications to GPR data fusion for concealed damage identification of transport infrastructures are rarely reported. Numerical simulation, tunnel model test, and on-site road test are conducted for performance validation. The comparison between the evaluation metrics before and after fusion demonstrates the effectiveness of the proposed fusion method. Both shallow and deep hollow targets hidden in the simulated concrete structure, real tunnel model, and road are identified through one radargram obtained by fusing different radargrams. The significance of this study is producing a high-quality composite radargram to enable multi-depth concealed damage detection and exempting human interference in the interpretation of multiple radargrams. |
| format | Article |
| id | doaj-art-1ecaf57431e14bfa8a46a17f017c1e20 |
| institution | OA Journals |
| issn | 2075-5309 |
| language | English |
| publishDate | 2024-08-01 |
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| series | Buildings |
| spelling | doaj-art-1ecaf57431e14bfa8a46a17f017c1e202025-08-20T01:56:11ZengMDPI AGBuildings2075-53092024-08-01149265710.3390/buildings14092657An NSCT-Based Multifrequency GPR Data-Fusion Method for Concealed Damage DetectionJunfang Wang0Xiangxiong Li1Huike Zeng2Jianfu Lin3Shiming Xue4Jing Wang5Yanfeng Zhou6National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment, College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, ChinaShenzhen Research Institute of the Hong Kong Polytechnic University, Shenzhen 518057, ChinaSchool of Qilu Transportation, Shandong University, Jinan 250002, ChinaCenter of Safety Monitoring of Engineering Structures, Shenzhen Academy of Disaster Prevention and Reduction, China Earthquake Administration, Shenzhen 518003, ChinaNational Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment, College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, ChinaSchool of Qilu Transportation, Shandong University, Jinan 250002, ChinaNational Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment, College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, ChinaGround-penetrating radar (GPR) is widely employed as a non-destructive tool for subsurface detection of transport infrastructures. Typically, data collected by high-frequency antennas offer high resolution but limited penetration depth, whereas data from low-frequency antennas provide deeper penetration but lower resolution. To simultaneously achieve high resolution and deep penetration via a composite radargram, a Non-Subsampled Contourlet Transform (NSCT) algorithm-based multifrequency GPR data-fusion method is proposed by integrating NSCT with appropriate fusion rules, respectively, for high-frequency and low-frequency coefficients of decomposed radargrams and by incorporating quantitative assessment metrics. Despite the advantages of NSCT in image processing, its applications to GPR data fusion for concealed damage identification of transport infrastructures are rarely reported. Numerical simulation, tunnel model test, and on-site road test are conducted for performance validation. The comparison between the evaluation metrics before and after fusion demonstrates the effectiveness of the proposed fusion method. Both shallow and deep hollow targets hidden in the simulated concrete structure, real tunnel model, and road are identified through one radargram obtained by fusing different radargrams. The significance of this study is producing a high-quality composite radargram to enable multi-depth concealed damage detection and exempting human interference in the interpretation of multiple radargrams.https://www.mdpi.com/2075-5309/14/9/2657ground-penetrating radardata fusionnon-subsampled contourlet transformconcealed damage detection |
| spellingShingle | Junfang Wang Xiangxiong Li Huike Zeng Jianfu Lin Shiming Xue Jing Wang Yanfeng Zhou An NSCT-Based Multifrequency GPR Data-Fusion Method for Concealed Damage Detection Buildings ground-penetrating radar data fusion non-subsampled contourlet transform concealed damage detection |
| title | An NSCT-Based Multifrequency GPR Data-Fusion Method for Concealed Damage Detection |
| title_full | An NSCT-Based Multifrequency GPR Data-Fusion Method for Concealed Damage Detection |
| title_fullStr | An NSCT-Based Multifrequency GPR Data-Fusion Method for Concealed Damage Detection |
| title_full_unstemmed | An NSCT-Based Multifrequency GPR Data-Fusion Method for Concealed Damage Detection |
| title_short | An NSCT-Based Multifrequency GPR Data-Fusion Method for Concealed Damage Detection |
| title_sort | nsct based multifrequency gpr data fusion method for concealed damage detection |
| topic | ground-penetrating radar data fusion non-subsampled contourlet transform concealed damage detection |
| url | https://www.mdpi.com/2075-5309/14/9/2657 |
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