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- W4386450720 abstract "To improve anti-ship missiles' precision strike capability and the ability to adapt to future battlefields, accurate detection, and recognition of multi-type dynamic ship targets in complex naval battlefield environments are the most important way. Through the combination of deep learning-based target detection technology and classical moving target detection algorithm, accurate detection and recognition of multi-type moving ship targets can be realized in the dynamic Marine environment, which provides a feasible approach and theoretical support for realizing fine selection of moving targets for anti-ship missiles in the dynamic background. Based on the urgent need for anti-ship missiles to improve precision strike capability, this paper expounded the characteristics and advantages of the algorithms and networks based on deep learning-based target detection technology, proposed a way of combining the two methods to detect and recognize the moving targets in dynamic background, and analyzed the feasibility of the practical application of anti-ship missile to improve the precision strike capability of ship targets." @default.
- W4386450720 created "2023-09-06" @default.
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- W4386450720 date "2023-07-14" @default.
- W4386450720 modified "2023-09-27" @default.
- W4386450720 title "Research on Detection Method of Moving Targets in Complex Battlefield" @default.
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- W4386450720 doi "https://doi.org/10.1109/icpics58376.2023.10235574" @default.
- W4386450720 hasPublicationYear "2023" @default.
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