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

Deniz Kumlu; Gökhan Karasakal; Nur Hüseyin Kaplan; Isin Erer

doi:10.14429/dsj.69.12965

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

DOI: https://doi.org/10.14429/dsj.69.12965

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.

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