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- W2369234113 abstract "SAR images vary with different aspects greatly even for the same target,which makes it difficult to identify targets from SAR images based on a single aspect.To solve the problem,an SAR image recognition system based on multiple-eigenspaces of ICA and fuzzy min-max neural network ensemble is proposed.Some SAR image eigenspaces are constructed for different aspects based on independent component analysis.An independent neural network is trained for each of eigenspace of different aspects.The trained neural networks are used to recognize SAR targets,and their results are combined through D-S evidence reasoning.The simulation results show that the recognition accuracy is higher than that of using a single neural network with aspect estimation preprocessing.Moreover,it does not need aspect estimation preprocessing." @default.
- W2369234113 created "2016-06-24" @default.
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- W2369234113 date "2009-01-01" @default.
- W2369234113 modified "2023-09-27" @default.
- W2369234113 title "SAR image recognition method based on multi-eigenspace and neural network" @default.
- W2369234113 hasPublicationYear "2009" @default.
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