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Research on Automatic Typhoon Recognition Based on Fengyun-4 Satellite Data and YOLOv8 Algorithm
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Yingni SHI1, Xin YI1, Bing LI1, Jian LI1, Shaohui LI1, Xuejie BAI1, Jie GUANG2, Luo ZHANG2
Journal of Telemetry, Tracking and Command | 2025, 46(6) : 136 - 144
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Journal of Telemetry, Tracking and Command | 2025, 46(6): 136-144
• Radar and Countermeasures •
Research on Automatic Typhoon Recognition Based on Fengyun-4 Satellite Data and YOLOv8 Algorithm
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Yingni SHI1, Xin YI1, Bing LI1, Jian LI1, Shaohui LI1, Xuejie BAI1, Jie GUANG2, Luo ZHANG2
Affiliations
  • 1. Mailbox No.5111, Beijing 100094, China
  • 2. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094,China
doi: 10.12347/j.ycyk.20250325001
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Due to the impact of global climate change, extreme weather events have become more frequent in recent years, with a corresponding increase in both the frequency and intensity of typhoons. As typhoons have extremely strong destructive power, they can have a significant impact on economic and social development, human life and property, as well as maritime activities. Therefore, the real-time tracking and positioning of typhoons is critical for mitigating their adverse impacts. Based on the infrared cloud image data from the multi-channel scanning imaging radiometer aboard the Fengyun-4 geostationary satellite, combined with the tropical cyclone best track dataset, this study uses the YOLOv8 object detection algorithm to achieve automatic identification and rapid positioning of typhoons. The verification results show that the recognition accuracy for typhoons with strong tropical storm intensity and above exceeds 83%, with a precision rate of over 88%. This achievement provides robust data support for maritime activities, maritime transportation, and oceanographic research, effectively improving the accuracy and timeliness of typhoon monitoring and enhancing safety in related fields.

Geostationary satellite  /  Typhoon  /  Automatic identification  /  YOLOv8 algorithm  /  Fengyun-4 satellite
Yingni SHI, Xin YI, Bing LI, Jian LI, Shaohui LI, Xuejie BAI, Jie GUANG, Luo ZHANG. Research on Automatic Typhoon Recognition Based on Fengyun-4 Satellite Data and YOLOv8 Algorithm[J]. Journal of Telemetry, Tracking and Command, 2025 , 46 (6) : 136 -144 . DOI: 10.12347/j.ycyk.20250325001
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Year 2025 volume 46 Issue 6
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doi: 10.12347/j.ycyk.20250325001
  • Receive Date：2025-03-25
  • Online Date：2026-03-13
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  • Received：2025-03-25
  • Revised：2025-06-13
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Affiliations
    1. Mailbox No.5111, Beijing 100094, China
    2. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094,China
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表12种不同金属材料的力学参数
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Family		 属数
Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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