Ground penetrating Radar Clutter Removal via 1D Fast Sub band Decomposition
Target detection performance in ground-penetrating radar (GPR) deteriorates highly in the presence of clutter. Multi-scale (wavelet transform) or the recently proposed multi-scale and multi-directional decomposition based methods can efficiently remove the clutter, however they have high computational complexity. In this paper, we propose a new multi-scale method which requires only 1D fast subband decomposition of the rows of the GPR image. The resulting detail layers directly provide the clutter-free target component of the GPR image. The proposed method is compared to the state-of-art clutter removal methods both visually and quantitatively using a realistic simulated dataset which is constructed by the gprMax simulation software. The results show that the proposed 1D subband decomposition scheme approximates the classical 2D wavelet decomposition successfully and even presents a performance increase as well as a complexity decrease for fast decomposition methods based on lifting wavelet transform and a trous wavelet transform.
Daniels, D.J., Ground penetrating radar, 2nd ed. Institution of Electrical Engineers, London, U.K., 2004.
Sinha, A. K. & Mehta, S. D. Detection of landmines. Def. Sci. J., 2001, 51(2), 115-131.
Kannan O.K.; Bhalla R.; Kapoor J.C.; Nimal A.T.; Mittal U. & Yadava R.D.S. Detection of landmine signature using SAW based polymer.coated chemical sensor. Def. Sci. J., 2004, 54, 309-315.
Mesecan, I. & Bucak, I. O. Efficient underground object detection for ground penetrating radar signals. Def. Sci. J., 2017, 67(1), 12-18.
Kumlu, D. & Erer I. A comparative study on clutter reduction techniques in GPR images,” Int. Conf. on Electrical and Electronics Eng., 2017.
Temlioglu E. & Erer I. Clutter removal in ground-penetrating radar images using morphological component analysis. IEEE Geosci. Remote Sens. Lett., 2016, 13(12), 1802-1806.
Carevic, D. Clutter reduction and target detection in ground penetrating radar data using wavelets. In Proc. SPIE Conf. Detect. Remediation Technol. Mines Minelike Targets IV, Orlando, FL, 1999.
Zoubir, A. M.; Chant I. J.; Brown, C. L.; Barkat, B. & Abeynayake C. Signal processing techniques for landmine detection using impulse ground penetrating radar. IEEE Sensors J., 2002, 2(1), 41-51.
Ni, S. H.; Huang, Y. H.; Lo, K.F. & Lin, D.C. Buried Pipe Detection by Ground Penetrating Radar Using the Discrete Wavelet Transform. J. of Computers and Geotechnics, 2010, 37, 440-448.
Ben Said S.; Marzouk S. B.; Duflos E.; Vanheeghe P. & Ellouze N. Landmines ground-penetrating radar signal enhancement by stationary wavelet transform”, 12th IFAC Symposium on Large Scale Systems: Theory and Applications, 2010.
Terrasse, G.; Jean-Marie N.; Emmanuel T. & Emeline D. Application of the Curvelet Transform for Clutter and Noise Removal in GPR Data. IEEE Journal of Selected Topics in Applied Earth Obs. and Remote Sens., 2017, 10(10), 4280–4294.
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