A novel edge detection for buried target extraction after SVD-2D wavelet processing

• An approach to analyze the edge and recognize targets of (GPR) images is proposed.
• Cross-correlation calculation method is introduced to improve the accuracy.
• A wavelet modulus maximum method is applied on the cross-correlation profiles.
• A novel filtering scheme based on SVD-2D wavelet procedure is proposed.

In this letter, a novel approach to analyze the edge and recognize targets of ground-penetrating radar (GPR) images is proposed. The performance of target recognition depends on the accuracy of edge detection. Cross-correlation calculation of the separated background and target signals is introduced to improve the accuracy. A novel edge detection scheme designed based on wavelet modulus maxima is applied on the cross-correlation profiles to reduce the false detection possibility caused by the noise. A novel filtering scheme based on singular value decomposition (SVD)-2D wavelet procedure is proposed to separate the target from background. The procedure can not only enhance the target reflection while suppressing the noise by improving the signal to noise ratio (SNR), but also separate the background and reflection signals. Experimental results including simulation and field application justify the effect of this scheme.