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Use of ground penetrating radar for landmine classification based on artificial neural network

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dc.contributor.advisor Munindradasa, DAI
dc.contributor.author Fernando, PSL
dc.date.accessioned 2011-06-10T10:41:46Z
dc.date.available 2011-06-10T10:41:46Z
dc.identifier.citation Fernando, P.S.L. (2004). Use of ground penetrating radar for landmine classification based on artificial neural network [Master's theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.mrt.ac.lk/handle/123/1049
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/1049
dc.description.abstract This research is mainly aimed at developing a technique based on neural networks to classifymetal and plastic objects buried within a range of soil conditions. In addition, the validity of this technique is also presented. The explosives in land mines are generally cased in metal or plastic containers. Identification of buried metal and plastic objects using a neural network and a sensing teclmique based on an electromagnetic method are discussed in this thesis. Neural network simulation results for plastics and metal objects in the range of soil condition are also reported. Finding the appropriate frequency window (FvV) for the Ground Penetrating Radar(CPR) operation and the development of a theoretical mathematical model is also presmted. Using this model, the appropriate FW for CPR operation is derived. Furthermore the estimation of important system parameters of CPR, modulation and detection techniques, modelling of CPR, and clutter reduction techniques are also discussed in the context of this thesis.
dc.format.extent xii, 51p. en_US
dc.language.iso en en_US
dc.subject Electronic and Telecommunication Engineering-Thesis
dc.subject THESIS-ELECTRONIC AND TELECOMMUNICATION ENGINEERING
dc.subject Artificial Neural Networks
dc.title Use of ground penetrating radar for landmine classification based on artificial neural network
dc.type Thesis-Abstract
dc.identifier.faculty Engineering en_US
dc.identifier.degree MEng en_US
dc.identifier.department Department of Electronic and Telecommunication Engineering en_US
dc.date.accept 2004-10
dc.identifier.accno 83814 en_US


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