This paper discusses the application of Artificial Neural Network Technology to airborne target recognition and target classification. Two networks, one for target recognition and the other for target classification, are constructed, optimized and finally tested. This application of neural networks is called Data Fusion, as data from different sensors is fused together to give an output. The neural network acts as a decision making process. The decision is based on the readings from the different radar sensors. Initially, the discussion of the basic architecture and mathematical working of the two networks, Target Recognition Network and Target Classifcation Network, will be discussed singularly as one network. This is because both networks have the same architecture and follow the same training process. Later in the paper, each network will be dealt with by themselves and their details will be discussed.
Neural networks for automatic target recognition
Neuronale Netze für die automatische Zielerkennung
1990
10 Seiten, 4 Bilder, 5 Tabellen, 7 Quellen
Conference paper
English
Evaluation of Neural Networks for Automatic Target Recognition
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