Deep learning for ground penetrating radar image processing

• 主要作者: Koh, Leonard Deng Liang
• 其他作者: Abdulkadir C. Yucel
• 格式: Final Year Project
• 語言: English
• 出版: Nanyang Technological University 2021
• 主題: 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
• 在線閱讀: https://hdl.handle.net/10356/150099
• 機構: 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...