Multiscale analysis of noisy 3D GPR data using the directional continuous wavelet transform

Here we present a new technique of noise effect attenuation in the 3D GPR data analysis using the 2D directional continuous wavelet transform (DCWT). The proposed technique is based on the application of a Gaussian low pass filter, at the modulus of the 2D DCWT for low scales. After application of the low pass filter, maxima of the CWT are mapped for all range of scales. Application at a noisy GPR data shows that the proposed idea can improve GPR data analysis by the continuous wavelet transform.