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- W3208257799 abstract "UXO (Unexploded Ordnance) poses an enormous threat and can alter maritime operations dramatically. When countering this threat, unmanned systems help avoiding the risk of human casualties by providing guided or automated UXO search capabilities. Automatic target recognition (ATR) for Synthetic Aperture Sonar (SAS) plays a key role in such modern unmanned UXO operations. In this paper, we present a novel approach for deriving and utilizing a reference model for ATR, which combines operational-level knowledge about intended operational scenarios, actors and the environment the latter operate in, in order to analyze and design domain-specific ATR services. The main goal is to derive sound and situation-adaptive strategies for UXO operations from the reference model and, in this context, support the development of situation-adaptive ATR services with respect to intended capabilities and scenario requirements. Theory employed by the approach allows for rigorous mathematical treatment in terms of providing a coherent probabilistic formulation of ATR. Application of the approach then describes how an ATR service can be designed based on architectural information supplied by the reference model. Finally, implementation addresses the aspect on how a given design can be deployed to the real-world platforms the distributed system is comprised of." @default.
- W3208257799 created "2021-11-08" @default.
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- W3208257799 date "2021-01-01" @default.
- W3208257799 modified "2023-10-12" @default.
- W3208257799 title "Seamless Integration of ATR Services into Situation-Adaptive Distributed Systems via Reference Modeling" @default.
- W3208257799 doi "https://doi.org/10.1121/2.0001487" @default.
- W3208257799 hasPublicationYear "2021" @default.
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