An Automatic Convergence Imaging Method Based on Ground Penetrating Radar Echo Data

Abstract

The invention discloses an automatic convergence imaging method based on ground penetrating radar echo data. The method comprises the following steps: S1) carrying out filtering on an echo image through a mean de-background algorithm to remove ground clutters; S2) removing echo image noise through a median filtering algorithm; S3) obtaining the number of radars required by pixel points through threshold analysis; and S4) carrying out convergence imaging on the echo image through a back-projection algorithm based on cosine distance weighting. The method can quickly and automatically carry out convergence imaging on the ground penetrating radar echo image, and can still converge echo signals quickly and effectively under the complex urban environment by utilizing the back-projection algorithm based on cosine distance and threshold analysis image segmentation technology, thereby meeting practical and application requirements.

Description

technical field [0001] The invention relates to the field of radar imaging, in particular to an automatic convergence imaging method based on ground-penetrating radar echo data. Background technique [0002] As a transportation infrastructure, roads are of great significance to digital management and construction for applications such as urban planning, traffic management, and navigation. Roads are one of the most important infrastructures in my country's national economic construction, and their engineering quality is directly related to national property. losses and people's lives. In the process of road survey, design and construction, it is often encountered that there are various types of voids under the designed roadbed. The existence of unfavorable geological phenomena such as underground cavities often makes the subgrade unstable, causing damage to subgrades, road surfaces, bridges, culverts and other structures, which is extremely harmful to highway engineering and ...

AI Technical Summary

Problems solved by technology

[0006] (1) The traditional bp algorithm needs to calculate the time delay of each radar at each pixel point, so the calculation amount is large and the calculation speed is slow;

[0007] (2) The sidelobe and clutter energy of the traditional bp algorithm convergence imaging results are high, and the point-shaped target has obvious sidelobes in the convergence image, so the convergence image imaging effect is poor

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