Deep learning for ground penetrating radar image processing

• Main Author: Koh, Leonard Deng Liang
• Other Authors: Abdulkadir C. Yucel
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2021
• Subjects: Engineering::Electrical and electronic engineering::Antennas, wave guides, microwaves, radar, radio; Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling; Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
• Online Access: https://hdl.handle.net/10356/150099
• Institution: Nanyang Technological University

Ground Penetrating Radar (GPR) is a useful technique that uses radar pulses to image the subsurface. It is a non-intrusive method of surveying the sub-surface to detect underground utilities such as pipes, cables, etc. The GPR images usually come in three variations, either as an A-scan, B-scan, or...