Numerous image processing techniques have been developed for physical environment target recognition. This paper considers the application of these common image processing techniques to the field of cybersecurity and, in particular, cyber target recognition. It discusses the different types of data that a cyber system can use for assessment and assesses the efficacy of multiple image processing-based target recognition technique for cyberspace use. Further, these techniques are evaluated the context of particular real-world challenges. Hybrid systems, that perform real world visible light target recognition and also cyber sensing, are discussed and the efficacy of these hybrid systems is considered.
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