Automatic detection of underground utility using Ground Penetrating Radar (GPR) dataset / Warishah Abdul Wahab

Complete and accurate information regarding subsurface material such as underground utility is becoming increasingly important nowadays. With the right information and updates on the underground utility such as location, type, depth and material; catastrophic events such as underground utility damag...

Full description

Saved in:

Bibliographic Details
Main Author:	Abdul Wahab, Warishah
Format:	Thesis
Language:	English
Published:	2018
Online Access:	https://ir.uitm.edu.my/id/eprint/83146/1/83146.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.83146
record_format	uketd_dc
spelling	my-uitm-ir.831462023-12-12T09:32:23Z Automatic detection of underground utility using Ground Penetrating Radar (GPR) dataset / Warishah Abdul Wahab 2018 Abdul Wahab, Warishah Complete and accurate information regarding subsurface material such as underground utility is becoming increasingly important nowadays. With the right information and updates on the underground utility such as location, type, depth and material; catastrophic events such as underground utility damage caused by miss digging and disruption to existing utility services can be avoided or at least minimised. Based on the study, Ground Penetrating Radar (GPR) is one of the latest non destructive geophysical technology and most widely used in detecting underground utilities. GPR has the ability to detect both metal and non-metal, however, it is unable to identify the type of underground utility object. Many researchers come out with their own techniques to interpret the GPR image. The current method requires experience in interpretation. Thus, in this study, a new method to detect underground utility by utilising the Normalised Cross Correlation (NCC) template matching technique is proposed. This technique will reduce the dependency on experts to interpret the radargram, less time consuming and eventually save cost. Upon detection, the accuracy of the system is assessed. From the accuracy assessment performed, it is shown that the system provides accurate detection results for both, depth and pipe size. The RMSE for the buried pipe depth obtained by using the proposed system is 0.110 m, whereas the highest percentage match obtained is 91.34%, the remaining 8.66% mismatched might be due to the soil condition, velocity or processing parameter that affected the radargram. Based on the assessment, the developed system seems capable to detect the subsurface utility if the radar image and template image used is acquired using the same antenna frequency, point interval and similar GPR instrument. Three Geographical Information System (GIS) software (ArcGIS, Quantum GIS and SAGA GIS) have been compared and used in achieving the objective. The final outputs of the study include portraying the detected utility in 3D view. 2018 Thesis https://ir.uitm.edu.my/id/eprint/83146/ https://ir.uitm.edu.my/id/eprint/83146/1/83146.pdf text en public phd doctoral Universiti Teknologi MARA (UiTM) Faculty of Architecture, Planning & Surveying Jaafar, Jasmee
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Jaafar, Jasmee
description	Complete and accurate information regarding subsurface material such as underground utility is becoming increasingly important nowadays. With the right information and updates on the underground utility such as location, type, depth and material; catastrophic events such as underground utility damage caused by miss digging and disruption to existing utility services can be avoided or at least minimised. Based on the study, Ground Penetrating Radar (GPR) is one of the latest non destructive geophysical technology and most widely used in detecting underground utilities. GPR has the ability to detect both metal and non-metal, however, it is unable to identify the type of underground utility object. Many researchers come out with their own techniques to interpret the GPR image. The current method requires experience in interpretation. Thus, in this study, a new method to detect underground utility by utilising the Normalised Cross Correlation (NCC) template matching technique is proposed. This technique will reduce the dependency on experts to interpret the radargram, less time consuming and eventually save cost. Upon detection, the accuracy of the system is assessed. From the accuracy assessment performed, it is shown that the system provides accurate detection results for both, depth and pipe size. The RMSE for the buried pipe depth obtained by using the proposed system is 0.110 m, whereas the highest percentage match obtained is 91.34%, the remaining 8.66% mismatched might be due to the soil condition, velocity or processing parameter that affected the radargram. Based on the assessment, the developed system seems capable to detect the subsurface utility if the radar image and template image used is acquired using the same antenna frequency, point interval and similar GPR instrument. Three Geographical Information System (GIS) software (ArcGIS, Quantum GIS and SAGA GIS) have been compared and used in achieving the objective. The final outputs of the study include portraying the detected utility in 3D view.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Abdul Wahab, Warishah
spellingShingle	Abdul Wahab, Warishah Automatic detection of underground utility using Ground Penetrating Radar (GPR) dataset / Warishah Abdul Wahab
author_facet	Abdul Wahab, Warishah
author_sort	Abdul Wahab, Warishah
title	Automatic detection of underground utility using Ground Penetrating Radar (GPR) dataset / Warishah Abdul Wahab
title_short	Automatic detection of underground utility using Ground Penetrating Radar (GPR) dataset / Warishah Abdul Wahab
title_full	Automatic detection of underground utility using Ground Penetrating Radar (GPR) dataset / Warishah Abdul Wahab
title_fullStr	Automatic detection of underground utility using Ground Penetrating Radar (GPR) dataset / Warishah Abdul Wahab
title_full_unstemmed	Automatic detection of underground utility using Ground Penetrating Radar (GPR) dataset / Warishah Abdul Wahab
title_sort	automatic detection of underground utility using ground penetrating radar (gpr) dataset / warishah abdul wahab
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Architecture, Planning & Surveying
publishDate	2018
url	https://ir.uitm.edu.my/id/eprint/83146/1/83146.pdf
_version_	1794191967199952896

Automatic detection of underground utility using Ground Penetrating Radar (GPR) dataset / Warishah Abdul Wahab

Similar Items