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GPR Preprocessing Methods to Identify Possible Cavities in Lateritic Soil

S.J. Savita1 , P. Anbazhagan2 , 3 , he Pallavi4

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-13 , Page no. 38-43, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si13.3843

Online published on May 14, 2019

Copyright © S.J. Savita, P. Anbazhagan, ,he Pallavi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: S.J. Savita, P. Anbazhagan, ,he Pallavi, “GPR Preprocessing Methods to Identify Possible Cavities in Lateritic Soil,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.13, pp.38-43, 2019.

MLA Style Citation: S.J. Savita, P. Anbazhagan, ,he Pallavi "GPR Preprocessing Methods to Identify Possible Cavities in Lateritic Soil." International Journal of Computer Sciences and Engineering 07.13 (2019): 38-43.

APA Style Citation: S.J. Savita, P. Anbazhagan, ,he Pallavi, (2019). GPR Preprocessing Methods to Identify Possible Cavities in Lateritic Soil. International Journal of Computer Sciences and Engineering, 07(13), 38-43.

BibTex Style Citation:
@article{Savita_2019,
author = {S.J. Savita, P. Anbazhagan, ,he Pallavi},
title = {GPR Preprocessing Methods to Identify Possible Cavities in Lateritic Soil},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {13},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {38-43},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1074},
doi = {https://doi.org/10.26438/ijcse/v7i13.3843}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i13.3843}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1074
TI - GPR Preprocessing Methods to Identify Possible Cavities in Lateritic Soil
T2 - International Journal of Computer Sciences and Engineering
AU - S.J. Savita, P. Anbazhagan, ,he Pallavi
PY - 2019
DA - 2019/05/14
PB - IJCSE, Indore, INDIA
SP - 38-43
IS - 13
VL - 07
SN - 2347-2693
ER -

           

Abstract

Lateritic soils is formed by soft sediments, entangled between rigid to soft lateritic rock, and are seeped due to the entry of water in rainy seasons forming cavities which span over large lengths and considerable depth. Mainly in southern and central parts of India the Lateritic soils are formed. The proposed research work aims at the detection of cavities and formation of sink holes in lateritic soil. The data used in this proposed work is obtained from project site in Kannur District, Kerala State, India. To detect the heterogeneities in lateritic soils and formation of cavities, a Geophysical survey method, namely ground penetrating radar (GPR) with 100 MHz and 500 MHz (for confirmative survey) Ground Coupled antennae were used. The proposed work involves two dimensional 2D image pre-processing of the radargram obtained from GPR. The pre-processing involves data editing, time zero correction, Dewow filter, gain control, Background noise removal and edge detection to improve the detection of cavities in lateritic soil. This provides a means for interpreting the raw GPR data.

Key-Words / Index Term

Ground penetrating radar, underground utility mapping,cavity detection and Dewow filter

References

[1] P.Anbazhagan, Divyesh Rohit, Athul Prabhakaran and B.
Vidyaranya“Identification of Karstic Features in Lateritic Soil by an Integrated Geophysical Approach” Pure Appl. Geophys. 175
(2018), 4515–4536, Springer International Publishing, ISSN 0033-
4553, Volume 175, Number 12.
[2] A.P. Daniels, D J "Ground Penetrating Radar" 2nd ed. 2004, London Institution of Electrical Engineers. ISBN 978-0-86341-
360-5.
[3] Nga-Fong Cheng, Hong-Wai Conrad Tang and Ching-To Chan “Identification and positioning of underground utilities using ground penetrating radar (GPR)" Sustain. Environ. Res., 23(2),
141-152 (2013).
[4] Warishah Abdul Wahab, Jasmee Jaafar,Ihsan Mohd Yassin and Mat Rahim Ibrahim “Interpretation of Ground Penetrating Radar (GPR) Image for Detecting and Estimating Buried Pipes and Cables” 2013 IEEE International Conference on Control System,Computing and Engineering, 29 Nov. - 1 Dec. 2013, Penang,alaysia.
[5] K.L Lee, M.M Mokji “Automatic Target Detection in GPR Images Using Histogram of Oriented Gradients (HOG)” Electronic Design (ICED), 2014 2nd International Conference on, 181-186.
[6] Prabhat Sharma, S. P. Gaba, Dharmendra singh “Study of Background Subtraction for Ground Penetrating Radar”, National Conference on Recent Advances in Electronics & Computer Engineering, RAECE -2015, Feb.13-15, 2015, IIT Roorkee, India
[7] Magdalena Szymczyk Piotr Szymczyk “Preprocessing of GPR Data”, Image Processing & Communication, vol. 18, no. 2-3, pp.
83-90.
[8] Spanoudakis S. Nikolaos and Vafidis Antonios “GPR-PRO: A MATLAB module for GPR data processing”, 978-1-4244-4605-
6/09/$25.00 ©2009 IEEE.
[9] Graham Parkinson, Csaba Ékes “Ground Penetrating Radar Evaluation of Concrete Tunnel Linings”, 12th International Conference on Ground Penetrating Radar, June 16-19, 2008, Birmingham, UK.
[10] N Muaniapan and A. V. Hebsur and E. P. Rao and G.
Venkatachalam, “Radius Estimation of Buried Cylindrical Objects using GPR – A Case Study”, 2012 14th International Conference
on Ground Penetrating Radar (GPR). Shanghai, China. ISBN 978-
1-4673-2663-6, 2012.
[11] Pedro Xavier Neto, Walter Eugeˆnio de Medeiros “A practical approach to correct attenuation effects in GPR data” Journal of Applied Geophysics 59 (2006) 140–151.
[12] A.P Annan “Practical Processing of GPR data” Proceedings of second Government workshop on GPR.