Xử lý số liệu Ra-đa Xuyên đất (GPR) trong xây dựng hình ảnh các công trình dân dụng ngầm ở tầng nông

Abstract

Ground Penetrating Radar (GPR) offers several outstanding advantages and has proven highly effective in surveying underground structures and buried objects. However, the major challenge lies in data processing and interpretation, which are inherently complex and require substantial expertise. This study aims to develop a comprehensive GPR data processing workflow to improve the reliability of anomaly identification, with particular emphasis on two critical parameters: depth and size. We adopted the basic filters available in the Reflexw software (time-zero correction, background removal, frequency filtering, etc.), followed by the application of wave amplitude analysis to determine depth and F–K migration to reconstruct the size of subsurface anomalies. Experimental results indicate that the proposed workflow provides promising outcomes, with the estimated object size showing an error of only about 14%, thereby demonstrating the effectiveness and application potential of this approach in subsurface structure surveys and geophysical studies.