Identification of Buried Objects in GPR Using Amplitude Modulated Signals Extracted from Multiresolution Monogenic Signal Analysis
1
College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
2
Key Laboratory of Grain Information Processing and Control, Henan University of Technology, Ministry of Education, Zhengzhou 450001, China
3
Henan Academy of Science, Applied Physics Institute Co., Ltd, Zhengzhou 450001, China
*
Author to whom correspondence should be addressed.
Academic Editor: Assefa M. Melesse
Sensors 2015, 15(12), 30340-30350; https://doi.org/10.3390/s151229801
Received: 31 July 2015
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Revised: 26 October 2015
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Accepted: 25 November 2015
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Published: 4 December 2015
(This article belongs to the Section Remote Sensors)
It is necessary to detect the target reflections in ground penetrating radar (GPR) images, so that surface metal targets can be identified successfully. In order to accurately locate buried metal objects, a novel method called the Multiresolution Monogenic Signal Analysis (MMSA) system is applied in ground penetrating radar (GPR) images. This process includes four steps. First the image is decomposed by the MMSA to extract the amplitude component of the B-scan image. The amplitude component enhances the target reflection and suppresses the direct wave and reflective wave to a large extent. Then we use the region of interest extraction method to locate the genuine target reflections from spurious reflections by calculating the normalized variance of the amplitude component. To find the apexes of the targets, a Hough transform is used in the restricted area. Finally, we estimate the horizontal and vertical position of the target. In terms of buried object detection, the proposed system exhibits promising performance, as shown in the experimental results.
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Keywords:
reflection hyperbola; GPR; multiresolution monogenic signal analysis; amplitude component; Hough transform
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MDPI and ACS Style
Qiao, L.; Qin, Y.; Ren, X.; Wang, Q. Identification of Buried Objects in GPR Using Amplitude Modulated Signals Extracted from Multiresolution Monogenic Signal Analysis. Sensors 2015, 15, 30340-30350. https://doi.org/10.3390/s151229801
AMA Style
Qiao L, Qin Y, Ren X, Wang Q. Identification of Buried Objects in GPR Using Amplitude Modulated Signals Extracted from Multiresolution Monogenic Signal Analysis. Sensors. 2015; 15(12):30340-30350. https://doi.org/10.3390/s151229801
Chicago/Turabian StyleQiao, Lihong, Yao Qin, Xiaozhen Ren, and Qifu Wang. 2015. "Identification of Buried Objects in GPR Using Amplitude Modulated Signals Extracted from Multiresolution Monogenic Signal Analysis" Sensors 15, no. 12: 30340-30350. https://doi.org/10.3390/s151229801
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