Time-delay recurrent neural network for exo-atmospheric infrared target recognition
Proceedings of SPIE - The International Society for Optical Engineering(2009)
Abstract
A time-delay recurrent neural network (TDRNN) is proposed for exo-atmospheric infrared target recognition. The
TDRNN employs adaptive time delays and recurrences where the adaptive time delays make the network choose the
optimal values of time delays for the temporal location of important information in the input sequence and the
recurrences enable the network to have dynamic recognition function. A TDRNN is trained and tested using simulated
data. The target recognition experiment suggests that TDRNN have a better recognition ability.
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Key words
exo-atmospheric target,ir radiation,recognition,tdrnn,infrared,neural networks,recurrent neural network,networks
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