land mine detection


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A survey of research on sensor technology for landmine detection
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Winter, 1998 Information in this issue may be out of date. Click here to link to the most recent issue. According to official figures, more than 100 million landmines lie buried around the world. Although intended for warfare, these mines remain active after warfare ends. Each

A review of sensing technologies for landmine detection : Unmanned vehicle based approach
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With the development of unmanned vehicle (robot) it will be possible to inspect deadly landmines by installing the smart landmine detector with it. This paper illustrates the existing and new technologies for landmine detection . There are over 100 million landmines

Effects of soil physical properties on GPR for landmine detection
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Field experience has shown that soil conditions can have large effects on Ground Penetrating Radar (GPR) detection of landmines. We discuss available models for the prediction of the dielectric constant from soil physical properties including bulk density, soil

Can honey bees assist in area reduction and landmine detection
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Background People and bees have a long and murually beneficial history. Ancient cave paintings in Spain depict a woman harvesting honey. The Egyptians moved bees on barges up and down rhe Nile. Originating near current-day Afghanistan, one species of honey bee

Comparison of GPR sensor types for landmine detection and classification
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An effective detector for use in humanitarian de-mining must respond to metal and non- metal mines; reliably discriminate mines from clutter and decoys with a low rate of false- positives; discriminate amongst differing mine types; be lightweight; and be affordable. To

Wave propagation model and simulations for landmine detection
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Recently there has been interest in developing new equipment and models for the detection and removal of landmines from field using Ground Penetrating Radar. In this project landmines with and without airgap are modeled using conventional electrical simulation

Evaluation of test results of GPR-based anti-personnel landmine detection systems mounted on robotic vehicles
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This paper discusses a data analysis and evaluation of test results for anti-personnel landmine detection systems using ground penetrating radar (GPR) mounted on robotic vehicles for humanitarian demining. Six research teams from universities and industries

Vibration sensors for buried landmine detection
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The phenomenon of the acoustic-to-seismic (A/S) coupling of airborne sound into the ground for buried anti-personnel and anti-tank landmine detection is well established [JM Sabatier and N. Xiang, IEEE Trans. on Geoscience Remote Sensing, 39, pp 1146-1154

Integrated mobile robot system for landmine detection
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In this paper, we discuss the integration process of a mobile robot and multi-channel metal detector system intended for humanitarian demining applications within the EU FP7 TIRAMISU project. The paper describes how a standard tele-operated Explosive Ordnance

Landmine detection using impulse ground penetrating radar
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Landmine detection and discrimination has becoming a challenging issue for the radar researcher because it is a very difficult and dangerous job. According to United Nations data, there are an estimated 110 million antipersonnel land mine buried over 60 countries

Progress in the research of ground bounce removal for landmine detection with ground penetrating radar
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Downward looking ground penetrating radar (GPR) has been considered a viable technology for landmine detection . For such a GPR with the antennas positioned very close to the ground surface, the reflections from the ground surface, ie, the ground bounce, are

Feature level fusion of polarimetric infrared and gpr data for landmine detection
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Feature-level sensor fusion is the process where specific information (ie features) from objects detected by different sensors are combined and classified. This paper focuses on the feature-level fusion procedure for a sensor combination consisting of a polarimetric infrared

Multi-feature based multiple landmine detection using ground penetration radar
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This paper presents a novel method for detection of multiple landmines using a ground penetrating radar (GPR). Conventional algorithms mainly focus on detection of a single landmine , which cannot linearly extend to the multiple landmine case. The proposed

Factor and principle component analysis for automatic landmine detection based on ground penetrating radar
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Statistical signal processing for clutter reduction in stepped-frequency ground penetrating radar (SF-GPR) data is presented for detecting buried Anti-personnel (AP) landmines. Two algorithms are proposed to separate the target and clutter based on factor analysis (FA) and

UXO and landmine detection using 3-dimensional ground penetrating radar system in a network centric environment
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This paper addresses the need for improved sensors for mine clearance operations and humanitarian demining efforts. These operations require an information system that is capable of supporting activities such as planning, training, simulation, execution

A generic Framework for Landmine detection using statistical classifier based on IR images
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Landmine detection with passive infrared images can depend quite heavily on the environmental conditions, and there are cross over periods when the thermal contrast is negligible and the mines may be undetectable. Conventional antipersonnel mine detection

Ground Penetrating Radar for anti-personnel landmine detection
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According to United Nations estimates, over 100 million anti-personnel mines are scattered across the world, killing and maiming some 20000 civilians every year (this corresponds roughly to one victim every 20 minutes). The current-manual-humanitarian demining rate is

Information-based sensor management for landmine detection using electromagnetic induction, ground-penetrating radar, and seismic sensors
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An information-based sensor management framework is discussed that enables the automated tasking of a suite of sensors when detecting static targets. The sensor manager chooses the sensors to use and the grid-based locations to observe in order to maximize the



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