Abstract
Aiming at the problems that the same recognition method for sea surface targets could not be used both day and night under visible light condition and the infrared images of weak and small targets were not highly distinguishable from the background, this paper proposed an algorithm which was compatible with identifying both infrared and visible light video information. This algorithm uses the methods of background suppression and frame correlation infrared sequence to distinguish the gray level information between targets and background, and to constitute a complete image. Besides, this algorithm takes into account the influence of changes in the marine environment on imaging effects, and the video of real boats with different resolution was selected for recognition test. By comparing the recognition results, the reliability of the algorithm was verified. The single target recognition rate under simulation conditions is greater than 90%, and is not less than 60% under the condition of real boat test. The recognition time is less than 100 ms.
Project supported by National defense science and technology innovation zone.
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Yifan, W., Xiao, C., Haibin, Z., Wei, H. (2022). Research on Infrared and Images Identification Technology of Small and Weak Targets with Different Resolutions at Sea. In: Yan, L., Duan, H., Yu, X. (eds) Advances in Guidance, Navigation and Control . Lecture Notes in Electrical Engineering, vol 644. Springer, Singapore. https://doi.org/10.1007/978-981-15-8155-7_365
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DOI: https://doi.org/10.1007/978-981-15-8155-7_365
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