Research on detection and identification method of general air pressure system on marine weather chart

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.

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Publication Details

Published
2024-10-09
DOI
https://doi.org/10.1117/12.3045538
Primary Topic
Advanced Sensor and Control Systems
Type
article
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article

Research on detection and identification method of general air pressure system on marine weather chart

Jamali Mussa Ahamada, mingxuan xie, shengwei xing
Advanced Sensor and Control Systems
article

Research on detection and identification method of general air pressure system on marine weather chart

Jamali Mussa Ahamada, mingxuan xie, shengwei xing
article en

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.

Dalian Maritime University (CN)
Life below water
Openalex Percentile: Top 80%
Advanced Sensor and Control Systems
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