Title :
Neural Network Based Identification of Buried Metalic Objects
Author :
Sezgin, Mehmet ; Kaplan, Gülay ; Birim, Melih ; Bahadirlar, Yildirim
Author_Institution :
TUBITAK, Kocaeli, Turkey
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;
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
DOI :
10.1109/SIU.2007.4298667