Detection and classification of buried dielectric anomalies by means of the bispectrum method and neural networks Balan, Ajay, N. ; Azimi-Sadjadi, Mahmood R. The development of neural network-based system for detection and classification of buried landmines is the main focus of this paper. Shape-dependent features are extracted by means of the bispectrum method. These features are then applied to the neural network. A multilayer back-propagation-type neural network is trained and tested on the feature sets extracted from equally spaced radial slices of image windows. Simulation results obtained for two types of targets indicated good detection and classification rates. Colorado State University. Libraries 1995 text ; image application/pdf ECEmra00041.pdf FACFECEN100521ARTI eng c1995 IEEE
Detection and classification of buried dielectric anomalies by means of the bispectrum method and neural networks
Balan, Ajay, N. ; Azimi-Sadjadi, Mahmood R.
The development of neural network-based system for detection and classification of buried landmines is the main focus of this paper. Shape-dependent features are extracted by means of the bispectrum method. These features are then applied to the neural network. A multilayer back-propagation-type neural network is trained and tested on the feature sets extracted from equally spaced radial slices of image windows. Simulation results obtained for two types of targets indicated good detection and classification rates.
Colorado State University. Libraries
1995
text ; image
application/pdf
ECEmra00041.pdf
FACFECEN100521ARTI
eng
c1995 IEEE