Ground penetrating Radar Clutter Removal via 1D Fast Sub band Decomposition

  • Deniz Kumlu Department of Electronics and Communications Engineering, Istanbul Technical University, Istanbul - 34469, Turkey
  • Gökhan Karasakal Department of Electronics and Communications Engineering, Istanbul Technical University, Istanbul - 34469
  • Nur Hüseyin Kaplan Department of Electrical and Electronics Engineering, Erzurum Technical University, Erzurum - 25700, Turkey
  • Isin Erer Department of Electronics and Communications Engineering, Istanbul Technical University, Istanbul - 34469, Turkey
Keywords: Landmine detection, Signal extraction, Ground-penetrating radar, Wavelet transform, Subband decomposition

Abstract

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.

Author Biographies

Deniz Kumlu, Department of Electronics and Communications Engineering, Istanbul Technical University, Istanbul - 34469, Turkey

Dr Deniz Kumlu received PhD the Department of Electronics and Communication Engineering, Istanbul Technical University, Turkey, in 2018. He is currently working as an instructor at National Defense University/Naval Academy in Istanbul, Turkey. His research interests include remote sensing, image and statistical signal processing.
His contribution to the presented work is to compare the performance of the proposed method with the state-of-the-arts methods.

Gökhan Karasakal, Department of Electronics and Communications Engineering, Istanbul Technical University, Istanbul - 34469

Mr Gökhan Karasakal is an R&D Engineer at Netas Telecom. A.S., Istanbul, Turkey currently working on his PhD in Istanbul Technical University. His primary research interest include digital signal and image processing.
His contribution to the presented work is to develop codes for fast subband decomposition based clutter removal methods.

Nur Hüseyin Kaplan, Department of Electrical and Electronics Engineering, Erzurum Technical University, Erzurum - 25700, Turkey

Dr N. Hüseyin Kaplan is an Assistant Professor at Electrical and Electronics Engineering Department, Erzurum, Turkey who received his PhD in Electronics and Telecommunication Engineering from Istanbul Technical University, Turkey. His primary research interests include digital signal and image processing
His contribution to the presented work is to provide background about fast subband decomposition methods.

Isin Erer, Department of Electronics and Communications Engineering, Istanbul Technical University, Istanbul - 34469, Turkey

Dr Isin Erer is an Associate Professor in the Department of Electronics and Communication Engineering, Istanbul Technical University, Istanbul, Turkey. Her research interests include: Statistical signal processing, image processing for remote sensing, high-resolution radar imaging and ground penetrating radar.
Her contribution to the presented work is to provide overall guidance to the team and combine fast subband decomposition with clutter removal problem.

References

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.

Published
2019-01-10
How to Cite
Kumlu, D., Karasakal, G., Kaplan, N., & Erer, I. (2019). Ground penetrating Radar Clutter Removal via 1D Fast Sub band Decomposition. Defence Science Journal, 69(1), 74-79. https://doi.org/10.14429/dsj.69.12965
Section
Electronics & Communication Systems