DocumentCode :
3354978
Title :
Neural Network Based Identification of Buried Metalic Objects
Author :
Sezgin, Mehmet ; Kaplan, Gülay ; Birim, Melih ; Bahadirlar, Yildirim
Author_Institution :
TUBITAK, Kocaeli, Turkey
fYear :
2007
fDate :
11-13 June 2007
Firstpage :
1
Lastpage :
4
Abstract :
Electromagnetic induction sensor (EMI -metal detector) has wide application areas for buried metallic object searching, such as detection of buried lines, pipes, mine and mine like-targets, etc. In this paper, identification of buried metallic objects was studied. The distinctive features of the signals in the data set were obtained, then the neural network based classification process was performed.
Keywords :
buried object detection; electromagnetic induction; neural nets; signal detection; buried metallic object detection; electromagnetic induction sensor; metal detector; neural classification process; neural network based identification; Buried object detection; Detectors; Electromagnetic induction; Electromagnetic interference; Global warming; Neural networks; Object detection; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th
Conference_Location :
Eskisehir
Print_ISBN :
1-4244-0719-2
Electronic_ISBN :
1-4244-0720-6
Type :
conf
DOI :
10.1109/SIU.2007.4298667
Filename :
4298667
Link To Document :
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