&lt;title&gt;Full-polarimetric video impulse radar for landmine detection&lt;/title&gt;

Yarovoy, Alexander; Ligthart, L.P.; Schukin, Alexander; Kaploun, I.V.

doi:10.1117/12.462311

Cited by 12 publications

(2 citation statements)

References 9 publications

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“…Landmine detection using ground‐penetrating radar (GPR) has been subject to considerable research over the last decade (Gader et al ; Ho and Gader ; Yarovoy et al ; MacDonald et al ; Daniels ; Sai and Ligthart ). Based on wave reflections produced by electromagnetic contrasts, GPR enables detection of buried targets with a high spatial resolution (Bruschini et al ; Scheers et al ; van der Kruk et al ; Daniels ).…”

Section: Introductionmentioning

confidence: 99%

A time frequency domain feature extraction algorithm for landmine identification from GPR data

Lopera

Milisavljević

Daniels³

et al. 2008

Near Surface Geophysics

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Ground‐penetrating radar (GPR) is a promising technique for demining procedures since it is able to detect both plastic and metal cased antipersonnel landmines. Yet, landmine identification using GPR is a challenging task since other buried reflectors such as stones or metallic debris can be detected. In this paper, a target discrimination approach is analysed and tested experimentally. It is based on relevant features extracted from 1D, GPR signals in the time frequency domain using the Wigner‐Ville distribution. Firstly, a filtering algorithm is applied to remove unwanted reflections from the background (e.g., soil surface reflection). Secondly, the preprocessed signal is transformed into a time frequency image using the Wigner‐Ville distribution. Finally, relevant features are extracted based on the singular value decomposition of the time frequency distribution. The algorithm is tested on radar data collected using two different hand‐held systems: (i) an impulse GPR‐based dual‐sensor system and (ii) a stepped‐frequency continuous‐wave GPR. Data were acquired over different types of soil and for different landmines and objects. Results are compared to features extracted using the wavelet transform and the Wilk’s lambda value is used as a criterion for optimal discrimination. Promising results are obtained, which show that time frequency features from Wigner‐Ville distribution could be used for differentiating between landmines and false alarms and could contain more valuable information than the features extracted using wavelet transform.

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Section: Introductionmentioning

confidence: 99%

A time frequency domain feature extraction algorithm for landmine identification from GPR data

Lopera

Milisavljević

Daniels³

et al. 2008

Near Surface Geophysics

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“…In images that result from this processing mines can be detected and features can be measured for fusion with other sensors. In another paper [2] sensor fusion of polarimetric IR data and data obtained by the Video Impulse Radar [3] is discussed.…”

Section: Introductionmentioning

confidence: 99%

Processing of polarimetric infrared images for landmine detection

Cremer

Jong

Schutte

Proceedings of the 2nd International Workshop onAdvanced Ground Penetrating Radar, 2003.

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Infrared (IR) cameras are often used in a vehiclebased multi-sensor platform for landmine detection. Additional to thermal contrasts, an IR polarimetric sensor also measures surface properties and therefore has the potential of increased detection performance. We have developed a polarimetric IR setup, which has to be used in a forward-looking manner. This paper describes all the steps to reach detection performance. The first step is the acquisition of the polarimetric IR image data. The next step is the pre-processing to (re)construct polarimetric images. A subsequent segmentation step is made to identify objects. Features, like intensity, reflectivity and shape, of these objects are measured. For independent performance analyses, the data set is divided into a training and evaluation section. A classifier is trained on the training section and evaluated on the classification section. The detection performance of the forward-looking IR camera is shown in receiver operator characteristics (ROC) curves.

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A Low-Cost, Compact Planar Integrated-Circuit Tunable Multi-Pulse Transmitter for UWB Radar and Communication Systems

Han

Nguyen

2007

Ultra-Wideband Short-Pulse Electromagnetics 8

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<title>Full-polarimetric video impulse radar for landmine detection</title>

Cited by 12 publications

References 9 publications

A time frequency domain feature extraction algorithm for landmine identification from GPR data

A time frequency domain feature extraction algorithm for landmine identification from GPR data

Processing of polarimetric infrared images for landmine detection

A Low-Cost, Compact Planar Integrated-Circuit Tunable Multi-Pulse Transmitter for UWB Radar and Communication Systems

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