Title :
Automatic target recognition using image and network decomposition
Author :
Mundkur, P.Y. ; Desai, U.B.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol., Bombay, India
Abstract :
A constrained version of the general automatic target recognition problem is formulated in the context of pattern recognition, as the detection and localization of target patterns in scene images. An approach to the simplification of the learning involved is presented. The two-stage network architecture that results from this approach incorporates two cascaded modules: a multilayered perceptron followed by a modified Maxnet. The network provides translation-invariant recognition of targets. Simulation results are presented
Keywords :
learning systems; neural nets; pattern recognition; Maxnet; automatic target recognition; image decomposition; learning systems; multilayered perceptron; network decomposition; neural nets; pattern recognition; two-stage network architecture; Aircraft; Blood; Image processing; Image recognition; Layout; Multilayer perceptrons; Neural networks; Pattern recognition; Target recognition; Target tracking;
Conference_Titel :
Neural Networks, 1991. 1991 IEEE International Joint Conference on
Print_ISBN :
0-7803-0227-3
DOI :
10.1109/IJCNN.1991.170416
