Underground Object Size Approximation using GPR Signal and Image Processing
S J Savita1, P Anbazhagan2, Abhay A Kulkarni3, Danish Gufran4, Andhe Pallavi5
1Mrs. S J Savita*, Assistant Professor, Department of EIE, RNSIT, Bengaluru, India. MP. Anbazhagan, Associate Professor, Department of Civil Engineering, IISc Bengaluru, India.
2Mr. Abhay A Kulkarni, Department of Electronics and Instrumentation Engineering, RNS Institute of Technology, Bengaluru, India. Danish Gufran, Department of Electronics and Instrumentation Engineering, RNS Institute of Technology, Bengaluru, India.
3Dr. Andhe Pallavi, Head, Department of Electronics and Instrumentation, RNS Institute of Technology, Bengaluru, India.
Manuscript received on April 20, 2020. | Revised Manuscript received on April 25, 2020. | Manuscript published on May 10, 2020. | PP: 1238-1242 | Volume-9 Issue-7, May 2020. | Retrieval Number: G5932059720/2020©BEIESP | DOI: 10.35940/ijitee.G5932.059720
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper comprises a step wise method of approximating the size of an underground object using GPR (Ground Penetrating Radar). It involves more than just using predefined filters and techniques. Usage of Trivial method of mathematics to calculate the top surface dimensions of the buried objects is the main purpose of this paper. Problem that is faced that, only the presence of any object can be known using the GPR resource, but not exactly how to derive the size of the object using the same data. This method consists of a dual approach to the problem to make sure that the data that is being given out is accurate. The objectives of this paper are to use the GPR to calculate the top surface dimension of a buried object at a suitable depth according to the frequency. The steps that are incorporated include pre-processing of raw data, determination of ROI (Region of interest) from the pre-processed data, Application of appropriate filters for image processing and estimating surface area and depth of the concealed object. The main reason of this paper is to serve the purpose of detecting what is under the ground in a quick and simpler way using the algorithm proposed.
Keywords: Ground Penetrating Radar-GPR, Object Size Approximation, Image Processing.
Scope of the Article: Image Processing and Pattern Recognition