Abstract
Goal of our work has been to design a Neural Network, based on the Counterpropagation Network, able to solve the classification problem in a multi-radar system.
The final aim is to implement the network on chip, and embed it in an integrated environment, for the automatic detection and control of vessels in the proximity of ports, based on radar sensors and signal/data processing equipment. The network has been implemented on the TMC CM200 8k processor system, which is a SIMD (Single Instructions and Multiple Data) parallel computer.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
References
Hetch-Nielsen,R.: Nearest Matched Filter Classification of Spatiotemporal Patterns. Applied Optics 26, no. 10, 1987, 1892–1899
Hetch-Nielsen,R.: Neurocomputing. Addison-Wesley, 1990
Kohonen,T.: Self-Organization and Associative Memory. 2d ed. Springer-Verlag, 1988
Grossberg, S.: Neural Networks and Natural Intelligence. MIT Press, Cambridge MA, 1988
Carpenter,G., Grossberg,S.: A massively parallel architecture for a Self-Organizing neural pattern recognition machine. Computer Vision, Graphics, and Image Processing, 37, 1987, 54–115
Carpenter,G., Grossberg,S.: ART 2: Self organization of stable Category Recognition Codes for Analog Input Patterns. Applied Optics 26, 1987, 4919–4930
Carpenter,G., Grossberg,S., and Reynolds, J.: ARTMAP: A Self-Organizing Neural Network Architecture for Fast Supervised Learning and Pattern Recognition. International Joint Conference on Neural Networks, Seattle WA, July 8–12, 1991, I-863 to I-868
Carpenter,G., Grossberg,S., and Reynolds, J.: ARTMAP: Supervised real time learning and classification of nonstationary data by a self-organizing neural network. Neural Networks, 4, 565–588, 1991
Pao, Y.,H.: Adaptive Pattern Recognition and Neural Network. Addison-Wesley, Mass., 1989
Dobnikar,A. et al.: Invariant Pattern Classification — Neural Network versus Ft approach. International Summer School and Workshop on Neurocomputing, Dubrovnik, 1990
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1996 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Casinelli, T., La Manna, M., Starita, A. (1996). A neural classifier for radar images. In: Dongarra, J., Madsen, K., Waśniewski, J. (eds) Applied Parallel Computing Computations in Physics, Chemistry and Engineering Science. PARA 1995. Lecture Notes in Computer Science, vol 1041. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60902-4_11
Download citation
DOI: https://doi.org/10.1007/3-540-60902-4_11
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-60902-5
Online ISBN: 978-3-540-49670-0
eBook Packages: Springer Book Archive