Referenced Items are not available for this document.
A hybrid approach to automatic target recognition (ATR) combining the complementary strengths of conventional image processing algorithms, artificial neural networks, and knowledge based expert systems is presented. The architecture employs parallel feature and pixel processing channels, the former using a self-organizing neural network and the latter using a supervised learning neural network. The feasibility of the hybrid automatic target recognition (ATR) approach to target detection, classification and recognition is demonstrated using (LADAR) data
Published in:
Neural Networks for Processing [1993] III. Proceedings of the 1993 IEEE-SP Workshop
Date of Conference: 6-9 Sep 1993
- Page(s):
- 537 - 548
- Meeting Date :
- 06 Sep 1993-09 Sep 1993
- Print ISBN:
- 0-7803-0928-6
- INSPEC Accession Number:
- 4985162
- Conference Location :
- Linthicum Heights, MD
- Digital Object Identifier :
- 10.1109/NNSP.1993.471834
- Product Type:
- Conference Publications
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