Development of Intelligence Software for GPR Investigation of Buried Object

Ground Penetrating Radar (GPR) is crucial for non-destructive subsurface investigation. However, it encounters many challenges like signal interference, clutter, complex media characteristics, etc. Advanced signal processing algorithms are essential to overcome these challenges, ensuring accurate id...

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Vydáno v:2024 IEEE Space, Aerospace and Defence Conference (SPACE) s. 1093 - 1096
Hlavní autoři: Tarai, Sangeeta, Panda, Swarna Laxmi, Santosh Kumar, Buddepu, Sahoo, Ajit Kumar, Maiti, Subrata
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 22.07.2024
Témata:
Accuracy
classification
Data processing
Feature extraction
GPR software
Ground penetrating radar
KNN
MATLAB app designer
Media
migration
RPCA
Signal processing algorithms
Software
subsurface characterization
SVM
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Shrnutí:Ground Penetrating Radar (GPR) is crucial for non-destructive subsurface investigation. However, it encounters many challenges like signal interference, clutter, complex media characteristics, etc. Advanced signal processing algorithms are essential to overcome these challenges, ensuring accurate identification and differentiation of subsurface targets. In addition to addressing these needs, this paper presents the development of robust GPR software using the MATLAB App Designer tool. The software incorporates data handling, clutter reduction, velocity estimation, and imaging. It also includes classification methodologies for target discernment. This comprehensive approach ensures accurate and reliable results, enhancing the utility of GPR technology for diverse applications.
DOI:10.1109/SPACE63117.2024.10667791