GPR-Based Landmine Detection and Identification Using Multiple Features
نویسندگان
چکیده
منابع مشابه
Automatic Multiple Landmine Detection Using Gpr
The land mine crisis is all over frightening since there are presently 500 million unexploded, buried mines in about 70 countries. Governments are noticing this situation seriously since land mines are claiming the limbs and lives of civilians’ very day. A multiple of landmine extraction from the data which are obtained from the Ground Penetrating Radar (GPR). Traditional algorithms targets on ...
متن کاملGPR Environmental-Based Landmine Automatic Detection
According to the United Nations, as of the year 2000 there were 70 million landmines planted in a third of the world’s nations affecting global causality rate of up to 20,000/year, (Anderson, 2002). That is why landmine detection has attracted much attention by many research teams around the world during the last two decades; among them is our research team in Nagoya University. Anti-personnel ...
متن کاملInvestigation of Time-Frequency Features for GPR Landmine Discrimination
Ground-penetrating radar (GPR) is capable to detect plastic antipersonnel landmines as well as other subsurface targets. In order to reduce false alarms, an option of automatic landmine discrimination from neutral minelike targets would be very useful. This paper presents a possibility for such discrimination and analyzes it experimentally. The authors investigate time–frequency features of an ...
متن کاملMulti-Feature Based Multiple Landmine Detection Using Ground Penetration Radar
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 algorithm is composed of four steps; estimation of the number of multiple objects buried in the ground, isolation of each object, feature ext...
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Background: Multiple Sclerosis (MS) is the most frequent non-traumatic neurological disease capable of causing disability in young adults. Detection of MS lesions with magnetic resonance imaging (MRI) is the most common technique. However, manual interpretation of vast amounts of data is often tedious and error-prone. Furthermore, changes in lesions are often subtle and extremely unrepresentati...
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ژورنال
عنوان ژورنال: International Journal of Antennas and Propagation
سال: 2012
ISSN: 1687-5869,1687-5877
DOI: 10.1155/2012/826404