Title :
The effect of the surface roughness to the classification of buried cylindrical targets
Author :
Kizilay, A. ; Yucedag, S.M.
Author_Institution :
Elektron. ve Haberlesme Muhendisligi Bolumu, Yildiz Teknik Univ., İstanbul, Turkey
Abstract :
The electric field scattered from the buried cylindrical target is calculated by using Equivalence Principle and Moment Method, and the database is formed by using the scattered fields from three cylindrical targets at certain frequencies. Radial Basis Function Network is proposed for target classification. A portion of the database is used to train the network and the rest is used to test the performance of the neural network. This target classification process has been repeated by changing the surface roughness of the medium, in which is the target buried, and effects of the surface roughness to the target classification are investigated.
Keywords :
image classification; method of moments; radial basis function networks; surface roughness; buried cylindrical target classification; electric field scattered; equivalence principle; moment method; neural network; radial basis function network; scattered fields; surface roughness; target classification process; three cylindrical targets; Dielectrics; Electromagnetic scattering; Microwave antennas; Neural networks; Radar antennas; Rough surfaces; Surface roughness; artificial neural network; buried target; electromagnetic scattering; target classification;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2013 21st
Conference_Location :
Haspolat
Print_ISBN :
978-1-4673-5562-9
Electronic_ISBN :
978-1-4673-5561-2
DOI :
10.1109/SIU.2013.6531584
