Image Processing Methods Applied to Landmine Detection in Ground Penetrating Radar
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چکیده
Image Processing Methods Applied to Landmine Detection in Ground Penetrating Radar
منابع مشابه
GPR Signal Processing with Geography Adaptive Scanning using Vector Radar for Antipersonal Landmine Detection
Ground Penetrating Radar (GPR) is a promising sensor for landmine detection, however there are two major problems to overcome. One is the rough ground surface. The other problem is the distance between the antennas of GPR. It remains irremovable clutters on a sub-surface image output from GPR by first problem. Geography adaptive scanning is useful to image objects beneath rough ground surface. ...
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Combined ground penetrating radar and metal detector equipment are now available (e.g., MINEHOUND, ERA TechnologyVallon GmbH) for landmine detection. The performance of the radar detector is influenced by the electromagnetic characteristics of the soil. In this paper we present an experimental procedure that uses the same equipment for the detection and calibration by means of signal processing...
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Landmines are affecting the lives and livelihoods of millions of people around the world. A number of detection techniques, developed for use with impulse ground penetrating radar, are described, with emphasis on a Kalman filter based approach. Comparison of results from real data show that the Kalman filter algorithm provides the best detection performance, although its computational burden is...
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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, i.e., the ground bounce, are very strong and can completely dominate the weak returns from shallowly buried plastic mines. Hence, one of the key challenges of using G...
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تاریخ انتشار 2013