The invention relates to the technical field of
radar detection and application thereof, and provides a
data processing method for
ground penetrating radar data, which comprises the following steps: firstly, carrying out preprocessing and
gain recovery on original
radar data, then carrying out mixed denoising by adopting empirical mode
decomposition and Wiener filtering, screening and reconstructing effective signals by utilizing cross correlation coefficients, and finally, carrying out
data processing on the effective signals. The method comprises the following steps: firstly, constructing a filter in a
frequency wave number domain to remove
random noise and low-frequency interference, then constructing a fan-shaped filter in the
frequency wave number domain, introducing
transition band processing to suppress linear coherent interference, then carrying out
wave velocity estimation based on an image entropy minimization criterion to obtain an optimal imaging
wave velocity, and finally executing Stolt migration imaging by using the optimal
wave velocity and outputting a result. According to the method, edge details of effective signals are effectively reserved through multi-scale
decomposition, the problem of imaging defocusing is solved through self-adaptive wave velocity search, and the
signal-to-
noise ratio, the resolution ratio and the focusing precision of
ground penetrating radar data in a complex and strong-interference environment are remarkably improved.