Analysis of Imaging Internal Defects in Living Trees on Irregular Contours of Tree Trunks Using Ground-Penetrating Radar

The outer contours of living trees are often considered as a standard circle during non-destructive testing (NDT) internal defects using ground-penetrating radar (GPR). However, the detection classical cross-sections (circular) lacks consideration irregular contours, making it difficult to accurately locate image target. In this paper, we propose method based on affine transformation and Riemann mapping principle analyze effect routes geometric characteristics target reflection hyperbola. First, for similar output phenomenon in “hyperbola fitting”, analysis numerical simulation were performed. Then, conversion trunk images physical domain was implemented principle. Finally, influence geometry curve investigated detail through simulations actual experiments. measurement results demonstrated that study could better reflect imaging hyperbola under pattern. This provides assistance further prevents misjudgment targets result hyperbolic distortion, resulting greater prospect application.