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Improving GPR Imaging of the Buried Water Utility Infrastructure by Integrating the Multidimensional Nonlinear Data Decomposition Technique into the Edge Detection

by 1 and 2,*
1
Institute of Marine Environmental Science and Technology, National Taiwan Normal University, 88, Sec. 4, Ting-Chou Road, Taipei 116, Taiwan
2
Department of Earth Sciences, National Taiwan Normal University, 88, Sec. 4, Ting-Chou Road, Taipei 116, Taiwan
*
Author to whom correspondence should be addressed.
Academic Editor: Thomas Meixner
Water 2021, 13(21), 3148; https://doi.org/10.3390/w13213148
Received: 29 September 2021 / Revised: 30 October 2021 / Accepted: 5 November 2021 / Published: 8 November 2021
Although ground-penetrating radar (GPR) is effective to detect shallow-buried objects, it still needs more effort for the application to investigate a buried water utility infrastructure. Edge detection is a well-known image processing technique that may improve the resolution of GPR images. In this study, we briefly review the theory of edge detection and discuss several popular edge detectors as examples, and then apply an enhanced edge detecting method to GPR data processing. This method integrates the multidimensional ensemble empirical mode decomposition (MDEEMD) algorithm into standard edge detecting filters. MDEEMD is implemented mainly for data reconstruction to increase the signal-to-noise ratio before edge detecting. A quantitative marginal spectrum analysis is employed to support the data reconstruction and facilitate the final data interpretation. The results of the numerical model study followed by a field example suggest that the MDEEMD edge detector is a competent method for processing and interpreting GPR data of a buried hot spring well, which cannot be efficiently handled by conventional techniques. Moreover, the proposed method should be readily considered a vital tool for processing other kinds of buried water utility infrastructures. View Full-Text
Keywords: GPR; edge detection; near-surface imaging; spectrogram; multidimensional EMD; water management; utility maintenance GPR; edge detection; near-surface imaging; spectrogram; multidimensional EMD; water management; utility maintenance
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MDPI and ACS Style

Chen, C.-S.; Jeng, Y. Improving GPR Imaging of the Buried Water Utility Infrastructure by Integrating the Multidimensional Nonlinear Data Decomposition Technique into the Edge Detection. Water 2021, 13, 3148. https://doi.org/10.3390/w13213148

AMA Style

Chen C-S, Jeng Y. Improving GPR Imaging of the Buried Water Utility Infrastructure by Integrating the Multidimensional Nonlinear Data Decomposition Technique into the Edge Detection. Water. 2021; 13(21):3148. https://doi.org/10.3390/w13213148

Chicago/Turabian Style

Chen, Chih-Sung, and Yih Jeng. 2021. "Improving GPR Imaging of the Buried Water Utility Infrastructure by Integrating the Multidimensional Nonlinear Data Decomposition Technique into the Edge Detection" Water 13, no. 21: 3148. https://doi.org/10.3390/w13213148

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