pRAM nets for detection of small targets in sequences of infra-red images

A probabilistic random access memory (pRAM) neural network is described for the classification of objects in a video sequence of FLIR (forward looking infra-red) images into two classes, target and clutter. The image sequences used for training and testing were gathered from real scenes. These seque...

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Veröffentlicht in:	Neural networks 1995-01, Vol.8 (7), p.1227-1237
Hauptverfasser:	Ramanan, Sivasubramaniam, Petersen, Rasmus S., Clarkson, Trevor G., Taylor, John G.
Format:	Artikel
Sprache:	eng
Schlagworte:	Automatic target recognition (ATR) Forward looking infra-red (FLIR) Principal component analysis (PCA) Probabilistic random access memory (PRAM) Reinforcement learning
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