Neural network ATR indexing system

摘要

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.!7