An automated landmine detection method based on ground penetration radar data segmentation using histogram thresholding and a non-linear filtering and a ...

This paper proposes an automated landmine detection method based on ground penetration radar data segmentation using histogram thresholding and a non-linear ...

In this paper the clutter removal algorithm consists of a nonlinear frequency domain filter followed by principal component based filtering. Principal ...

In general, any ground system for IED and landmine detection has an inherent risk of accidental detonation. Consequently, there has been an increasing interest ...

To improve the representation ability of the CFAR filter, it is combined with other non-linear operations. ... landmine detection in ground-penetrating radar data ...

In this paper, we present an online stochastic approach for landmine detection based on ground penetrating radar (GPR) signals using sequential Monte Carlo ...

The returns from shallowly buried targets measured using Ground Pen- etrating Radar (GPR) are typically obscured by a strong background signal.

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2.3 Spike removal via nonlinear filtering. The observed GPR spectra ... In order to filter data at any general position and spread, it first has to ...

Given the incredible results achieved by deep learning in many detection tasks, in this paper we propose a pipeline for buried landmine detection based on ...