摘要
受全球气候变化影响,近年来极端天气事件愈发频繁,台风发生的数量增多、强度增强。由于台风破坏力极强,对经济社会发展、人民生命财产安全以及海上活动都会带来严重影响,因此,实时定位台风对于减少其不利影响极为重要。本文基于我国风云四号静止卫星多通道扫描成像辐射计的红外云图观测资料,结合热带气旋最佳路径数据集,采用深度学习YOLOv8目标检测算法,实现了台风的自动识别和快速定位。验证结果表明:强热带风暴及以上强度台风的识别准确率超过83%,定位精度达到88%以上。这一成果为海上活动、海上交通运输以及海洋学研究提供了坚实的数据支撑,有效提升了台风监测的准确性和时效性,增强了相关领域的安全保障能力。
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.
作者
施英妮
易欣
李冰
李剑
李绍辉
白雪洁
光洁
张罗
SHI Yingni;YI Xin;LI Bing;LI Jian;LI Shaohui;BAI Xuejie;GUANG Jie;ZHANG Luo(Mailbox No.5111,Beijing 100094,China;Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China)
出处
《遥测遥控》
2025年第6期136-144,共9页
Journal of Telemetry,Tracking and Command
基金
国家自然科学基金(41976174)。
关键词
静止卫星
台风
自动识别
YOLOv8算法
风云四号卫星
Geostationary satellite
Typhoon
Automatic identification
YOLOv8 algorithm
Fengyun-4 satellite
