Next-Generation ATR

doi:10.1117/3.2542436.ch6

Next-Generation ATR

Book: Automatic Target Recognition, Fourth Edition

Author(s): Bruce J. Schachter

Published: 2020

https://doi.org/10.1117/3.2542436.ch6

Author Affiliations +

Abstract

The human brain receives, integrates, and processes sensor data and various forms of metadata. It detects, recognizes, and tracks objects of interest. It communicates with other brains. The brain has motor control over its host body. On an abstract level, the brain and ATR have a lot in common. They have to solve similar computational tasks. This leads to similarities in design. Any network whose neurons send feedback signals to each other is a recurrent neural network (RNN). The human brain is an RNN with many feedback loops. RNNs can learn to process sequential data not easily learned by other types of neural networks. A recurrent ATR is suitable for processing still frame, video, and various kinds of temporal signals.