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Some convolution and scale transformation techniques to enhance GPR images

conference contribution
posted on 2023-11-20, 23:45 authored by N Ulapane, Lasitha PiyathilakaLasitha Piyathilaka, S Kodagoda
Locating reinforcement rods embedded inside concrete wall-like structures, as well as locating subsurface features such as voids, cracks, and interfaces is an essential part of structural health monitoring of concrete infrastructure. The Ground Penetrating Radar (GPR) technique has been commonly used as a means of Non-destructive Testing and Evaluation (NDT E) which suits the purpose. In the recent past, the interest of using GPR to assess the crowns (i.e., top) of concrete sewers has been rising. Moisture is well known to be a challenge for GPR imaging as moisture tends to influence GPR waves. This challenge becomes more common and persistent inside sewers since sewer walls contain considerable surface and subsurface moisture as a result of the humid environment created by the waste water flowing through sewers as well as the bacteria and gas induced acid attacks. Forming a part of sewer condition assessment-related research with the objective of assessing moist concrete, this paper presents some preliminary results which demonstrate how some simple scale transformations and convolution can help in enhancing GPR images in grey-scale. A set of raw GPR signals captured on a moist concrete block inside a laboratory environment is considered. The effect of enhancement is demonstrated against a benchmark image constructed by mapping the raw signals directly onto grey-scale.

History

Start Page

1453

End Page

1458

Number of Pages

6

Start Date

2021-06-19

Finish Date

2019-06-21

eISSN

2158-2297

ISSN

2156-2318

ISBN-13

9781538694916

Location

Xi'an, China

Publisher

IEEE

Place of Publication

Piscataway, NJ

Peer Reviewed

  • Yes

Open Access

  • No

Era Eligible

  • Yes

Name of Conference

14th IEEE Conference on Industrial Electronics and Applications (ICIEA 2019)

Parent Title

Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019

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