Paper
2 September 1993 Neural network ATR indexing system
Author Affiliations +
Abstract
We have developed a novel neural network based automatic target recognition (ATR) indexing system. This system utilizes regularization edge detection, adaptive vector quantization (AVQ) clustering, model driven feedback, and backpropagation trained networks. It can be designed to be invariant to either translation, or translation and rotation. The system incorporates both top-down and bottom-up processing to suppress background clutter.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Allen Gee, David M. Doria, and James D. Leonard Jr. "Neural network ATR indexing system", Proc. SPIE 1965, Applications of Artificial Neural Networks IV, (2 September 1993); https://doi.org/10.1117/12.152542
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KEYWORDS
Neural networks

Prototyping

Data modeling

Automatic target recognition

Artificial neural networks

Image processing

Edge detection

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