Paper
22 March 1999 Pulse-coupled neural networks for cruise missile guidance and mission planning
Joakim T. A. Waldemark, Vlatko Becanovic, Thomas Lindblad, Clark S. Lindsey, Karina E. Waldemark, Jason M. Kinser
Author Affiliations +
Proceedings Volume 3728, Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks; (1999) https://doi.org/10.1117/12.343034
Event: Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks: Neural Networks Fuzzy Systems, Evolutionary Systems and Virtual Re, 1998, Stockholm, Sweden
Abstract
Mission planning and missile navigation control are important tasks to solve when dealing with cruise missiles. A large variation of solutions has been used all the way back to world war II and the German VI missile. Today, biologically inspired sensor analysis systems such as, e.g. pulsed coupled neural networks (PCNN), can be used in many different applications related to these two major tasks, mission planing and missile navigation. This paper discusses generally the cruise missile related problems and gives example on how they are being solved. New ideas as shown on how to use PCNN in combination with other image processing transforms, e.g. the radon transform, to solve the planning and navigation problems. This includes solving tasks such as image segmentation, target identification and maze navigation.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Joakim T. A. Waldemark, Vlatko Becanovic, Thomas Lindblad, Clark S. Lindsey, Karina E. Waldemark, and Jason M. Kinser "Pulse-coupled neural networks for cruise missile guidance and mission planning", Proc. SPIE 3728, Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks, (22 March 1999); https://doi.org/10.1117/12.343034
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Cited by 2 scholarly publications.
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KEYWORDS
Missiles

Image segmentation

Radon transform

Image processing

Neural networks

Navigation systems

Edge detection

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