Paper
9 October 2024 Research on detection and identification method of general air pressure system on marine weather chart
Mingxuan Xie, Shengwei Xing, Jamali Mussa Ahamada
Author Affiliations +
Proceedings Volume 13288, Fourth International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2024); 132881K (2024) https://doi.org/10.1117/12.3045538
Event: Fourth International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2024), 2024, Chengdu, China
Abstract
Ships usually affected by various weather conditions. How to deal with bad weather is the challenge that ocean-going ships must face. The radio-meteorological facsimile receiver is an important equipment for the ship to obtain weather data in the sea where the ship is located. The weather map received by the receiver gives the weather situation at a certain time in the sea where the ship is located. This paper proposes a detection and identification method for general pressure systems on weather charts, that is, various elements contained in general pressure systems on weather charts are detected and identified through image processing and machine learning methods. In this paper, 5 weather charts are randomly selected for testing, including 51 groups of general pressure systems, among which 36 groups of general pressure systems have completely correct identification results. 11 groups of identification results were partially correct, and 4 groups of identification results were completely incorrect. The implementation of this method can assist the officer to intuitively judge the weather situation of the ship sailing area, and provide support for the ship sailing decision.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Mingxuan Xie, Shengwei Xing, and Jamali Mussa Ahamada "Research on detection and identification method of general air pressure system on marine weather chart", Proc. SPIE 13288, Fourth International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2024), 132881K (9 October 2024); https://doi.org/10.1117/12.3045538
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KEYWORDS
Meteorology

Image processing

Target detection

Color

Oceanography

Receivers

System identification

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