This chapter discusses the concept of using Spiking Neural Networks (SNN), i.e. 3rd generation networks for image processing in UAV vision systems. The discussion concerns the complexity of various network models and basic limitations of hardware implementations of classifiers based on such networks. This chapter provides an example of classifying objects using SNN and discusses the implementation complexity of such networks.
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