Title :
A microwave object recognition approach based on neural networks
Author :
Bermani, E. ; Caorsi, S. ; Raffetto, M.
Author_Institution :
Dipt. di Elettronica, Pavia Univ., Italy
Abstract :
In this paper a neural network approach is applied to the solution of microwave inverse scattering problems. In particular, cylindrical objects buried in an unavailable domain are taken into account. Different sets of testing data are considered in order to verify the capability of the network to reconstruct the geometric and dielectric characteristics of an unknown target starting from the knowledge of the scattered field values. Both lossless homogeneous and lossy inhomogeneous domains are taken into account
Keywords :
buried object detection; electromagnetic wave scattering; inverse problems; microwave imaging; neural nets; object recognition; buried cylindrical object; microwave inverse scattering; neural network; object recognition; Biological neural networks; Buried object detection; Computer networks; Dielectrics; Electromagnetic fields; Electromagnetic scattering; Inverse problems; Lighting; Neural networks; Object recognition;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1999. IMTC/99. Proceedings of the 16th IEEE
Conference_Location :
Venice
Print_ISBN :
0-7803-5276-9
DOI :
10.1109/IMTC.1999.776091
