Publication Type : Conference Paper
Publisher : IEEE
Source : 2024 IEEE Space, Aerospace and Defence Conference (SPACE)
Url : https://doi.org/10.1109/space63117.2024.10667791
Campus : Amaravati
School : School of Engineering
Department : Electronics and Communication
Year : 2024
Abstract : 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.
Cite this Research Publication : Sangeeta Tarai, Swarna Laxmi Panda, Buddepu Santosh Kumar, Ajit Kumar Sahoo, Subrata Maiti, Development of Intelligence Software for GPR Investigation of Buried Object, 2024 IEEE Space, Aerospace and Defence Conference (SPACE), IEEE, 2024, https://doi.org/10.1109/space63117.2024.10667791