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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21653
Article Published : 8541
Total Authors : 22459
Total Reviewer : 811
Total Countries : 159
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| Paper Title: | A Review of Remote Sensing Techniques for Underground Pipeline Detection Using GPR Signal Processing |
| Authors Name: | Priya bhanudas shinde , Binnaser Aziz Abdullah , Shital Katkade , Gaju Chavan |
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| Author Reg. ID: |
IJRTI_205158
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| Published Paper Id: | IJRTI2507020 |
| Published In: | Volume 10 Issue 7, July-2025 |
| DOI: | https://doi.org/10.56975/ijrti.v10i7.205158 |
| Abstract: | This research paper explores the application of remote sensing techniques, specifically ground-penetrating radar (GPR), for detecting underground pipelines. The study focuses on the signal processing methods employed in GPR technology to identify and locate the presence of buried pipelines. The research investigates the effectiveness of GPR in detecting different types of underground pipelines, including metallic and non-metallic ones, and evaluates the impact of various factors such as soil type, depth of burial, and pipe diameter on detection accuracy. The study presents experimental results and analysis of data collected from GPR surveys conducted in a controlled test site and a real-world pipeline network. The findings demonstrate the potential of GPR-based remote sensing as a reliable and non-intrusive method for detecting underground pipelines and highlight the importance of signal processing techniques for improving detection accuracy. |
| Keywords: | Ground-penetrating, nondestructive testing, pipelines detection, modeling, signal processing. |
| Cite Article: | "A Review of Remote Sensing Techniques for Underground Pipeline Detection Using GPR Signal Processing", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 7, page no.a163-a173, July-2025, Available :http://www.ijrti.org/papers/IJRTI2507020.pdf |
| Downloads: | 000459 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2507020
Registration ID:205158
Published In: Volume 10 Issue 7, July-2025
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v10i7.205158
Page No: a163-a173 Country: Chh.sambhajinagar, Maharashtra, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2507020 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2507020 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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