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Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312692007> ?p ?o ?g. }

• W4312692007 abstract "We propose a novel method to generate underwater object imagery that is acoustically compliant with that generated by side-scan sonar using the Unreal Engine. We describe the process to develop, tune, and generate imagery to provide representative images for use in training automated target recognition (ATR) and machine learning algorithms. The methods provide visual approximations for acoustic effects such as back-scatter noise and acoustic shadow, while allowing fast rendering with C++ actor in UE for maximizing the size of potential ATR training datasets. Additionally, we provide analysis of its utility as a replacement for actual sonar imagery or physics-based sonar data." @default.
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• W4312692007 date "2022-10-17" @default.
• W4312692007 modified "2023-09-27" @default.
• W4312692007 title "Synthetic Sonar Image Simulation with Various Seabed Conditions for Automatic Target Recognition" @default.
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• W4312692007 doi "https://doi.org/10.1109/oceans47191.2022.9977275" @default.
• W4312692007 hasPublicationYear "2022" @default.
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