Designing an applied algorithm to extract geometrical parameters of buried cylindrical targets in Ground-penetrating radar (GPR) method

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

FEREYDOONI HOSSEIN; AHMADI REZA

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF ANALYTICAL AND NUMERICAL METHODS IN MINING ENGINEERING Year:2019 | Volume:9 | Issue:19 Page(s): 63-78

Download Full-Text

Persian Verion

View:

550

Download:

Cites:

Information Journal Paper

Title

Designing an applied algorithm to extract geometrical parameters of buried cylindrical targets in Ground-penetrating radar (GPR) method

Author(s)

FEREYDOONI HOSSEIN | AHMADI REZA | Issue Writer Certificate

Keywords

Ground-Penetrating Radar (GPR)

Geometrical parameters of cylindrical targets

Cascade Object Detector (COD) algorithm

Hyperbolic response

Positive

negative images

Abstract

Summary: In present research, GPR method has been used to identify geometrical parameters of buried cylindrical targets. To achieve this goal, first forward modeling of GPR data has been carried out for several synthetic models corresponding to common targets in geotechnical and subsurface installations. Afterward, an applied algorithm on the basis of signal processing on a radargram (A Scan) with high accuracy was implemented in MATLAB environment. The performance of the algorithm was validated for several synthetic models so that led to the favorite results in all cases. The primitive algorithm was improved to employ for real GPR images having a large amount of various noises. Introduction: One of the most important tasks in engineering design is extraction of geometrical parameters of subsurface hidden objects. In this research, has been attempted to investigate the treatment of GPR responses in spatial domain using simulated response of various synthetic models by forward modeling. Then after extraction of relationships between existence mathematical models with GPR system response, geometrical parameters of buried cylindrical targets and physical parameters of host medium are identified through employing appropriate algorithms and image processing methods. Methodology and Approaches: An applied algorithm based on signal processing on a radargram (A Scan) was implemented in MATLAB environment which investigates the treatment of GPR response in spatial domain. The performance of the algorithm was validated for several synthetic models such as empty metallic and PVC horizontal cylinders and also the model including the couple of empty horizontal cylinders made by PVC. The algorithm was improved by applying Cascade Object Detector (COD) algorithm, interest of region is defined so that null regions are removed, implementing on the finite interested region. Then the algorithm is trained based on definition of Positive and negative images. The performance of the proposed algorithm was evaluated for a real GPR radargram related to one of the profiles surveyed in Imam-Hossein square, opposite the municipality of Isfahan city so that also yielded a favorite result in this regard. Results and conclusions: In order to evaluate the accuracy of curve fitting the hyperbolic equation on the data, statistical validation criterion well-known as determination coefficient has been used. According to this criterion fitting accuracy of hyperbolic equation on the data for all synthetic models except the couple of horizontal cylinders is up to 93 percent. The algorithm has estimated the Geometrical parameters of cylindrical targets with an error less than 8 percent. Also using the improved algorithm, determination coefficient of the fitted curve is 83. 99 percent that is a favorite result. The algorithm could estimate radius, burial depth and horizontal location of the buried horizontal cylinder in the real GPR image with the errors of 7. 6, 1. 7 and 1. 1 percent, respectively.

Cites

No record.

References

No record.

Cite

APA: Copy

FEREYDOONI, HOSSEIN, & AHMADI, REZA. (2019). Designing an applied algorithm to extract geometrical parameters of buried cylindrical targets in Ground-penetrating radar (GPR) method. JOURNAL OF ANALYTICAL AND NUMERICAL METHODS IN MINING ENGINEERING, 9(19 ), 63-78. SID. https://sid.ir/paper/266101/en

Vancouver: Copy

FEREYDOONI HOSSEIN, AHMADI REZA. Designing an applied algorithm to extract geometrical parameters of buried cylindrical targets in Ground-penetrating radar (GPR) method. JOURNAL OF ANALYTICAL AND NUMERICAL METHODS IN MINING ENGINEERING[Internet]. 2019;9(19 ):63-78. Available from: https://sid.ir/paper/266101/en

IEEE: Copy

HOSSEIN FEREYDOONI, and REZA AHMADI, “Designing an applied algorithm to extract geometrical parameters of buried cylindrical targets in Ground-penetrating radar (GPR) method,” JOURNAL OF ANALYTICAL AND NUMERICAL METHODS IN MINING ENGINEERING, vol. 9, no. 19 , pp. 63–78, 2019, [Online]. Available: https://sid.ir/paper/266101/en

Related Journal Papers