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Iranian Journal of Electrical and Electronic Engineering، جلد ۲۱، شماره ۲، صفحات ۳۶۱۵-۳۶۱۵
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Hyperbolic Detection of Ground Penetrating Radar for Buried Pipes Utilities Using Viola Jones
چکیده انگلیسی مقاله GPR (Ground Penetrating Radar) is well-known as an effective non-invasive imaging approach for shallow nature underground discovery, like finding and locating submerged objects. Although GPR has achieved some success, it is difficult to automatically process GPR images because human experts must interpret GPR images of buried objects. This can happen due to the possibility of a variety of mediums or underground noises from the environment, especially rocks and roots of trees. Thus, detecting hyperbolic echo characteristics is critical. As a result, Viola Jones detection is used to determine whether the presence of a hyperbolic signature underground indicates a pipe or not. GPR can also be used in the public works department because it is a non-destructive tool. Workers, for example, should be aware of the pipe size that must be replaced when it leaks. The original GPR image already shows hyperbolic image distortion due to pipe refraction. The current method is unreliable due to its lack of flexibility. As a result, there is another method for resolving this issue. Thus, the image will be pre-processed to eliminate or reduce background noise in the GPR input image. The results of this project demonstrate that the Viola Jones algorithm can accurately detect hyperbolic patterns in GPR images.
کلیدواژه‌های انگلیسی مقاله ground penetrating radar (GPR), image pre-processing, hyperbolic detection, Viola Jones.
نویسندگان مقاله | Nurul Syahirah Mohd Ideris
Faculty of Electrical Engineering & Technology, Universiti Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia.


| Hasimah Ali
Centre of Excellence for Intelligent Robotics and Autonomous Systems (CIRAS), Universiti Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia


| Mohd Shuhanaz Zanar Azalan
Faculty of Electrical Engineering & Technology, Universiti Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia


| Tengku Sarah Tengku Amran
Department of Agensi Nuklear Malaysia, Bangi Selangor, Malaysia
نشانی اینترنتی http://ijeee.iust.ac.ir/browse.php?a_code=A-10-5491-1&slc_lang=en&sid=1
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کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده 5-Antenna
نوع مقاله منتشر شده Only For Articles of ELECRiS 2024
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