Event identification in photon counting ICCD detectors requires a high level image analysis which cannot be easily described algorithmically: neural networks are promising to approach this application. A system capable of identifying these events on board of satellites needs fault tolerant capabilities to certify result correctness. The rapid evolution of the problem specification, due to the increasing knowledge about the physics, makes attractive the availability and modifiability of prototypes: FPGA-based design is effective to realize these systems. The paper presents therefore an FPGA-based implementation of a fault tolerant neural architecture for event identification.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.