1. Recognition of conductive objects based on the characteristics of reflected electromagnetic wave
- Author
-
V. M. Morozov, V. I. Magro, and D. Lyasota
- Subjects
Diffraction ,Artificial neural network ,business.industry ,Feature vector ,Acoustics ,020206 networking & telecommunications ,02 engineering and technology ,01 natural sciences ,Electromagnetic radiation ,Integral equation ,Wavelet packet decomposition ,010101 applied mathematics ,Probabilistic neural network ,Wavelet ,0202 electrical engineering, electronic engineering, information engineering ,Computer vision ,Artificial intelligence ,electromagnetic wave diffraction ,integral equation technique ,probabilistic neural network ,wavelet packet transform ,object recognition ,0101 mathematics ,Electrical and Electronic Engineering ,business ,Mathematics - Abstract
The problem of electromagnetic wave diffraction by the metal objects has been solved using integral equation technique. The diagrams of backward scattering have been plotted for four different objects. Based on the feature vector, which has been constructed by applying wavelet packet signal decomposition, a neural network has been trained. We have performed the testing of ability of the neural network to recognize the object depending on the noise level. Various methods of the feature vector forming have been considered.
- Published
- 2016