利用深度学习技术从地球静止红外卫星图像追踪热带气旋

IF 3 3区地球科学 Q2 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

International Journal of Remote Sensing Pub Date : 2024-08-27 DOI:10.1080/01431161.2024.2388876

Chang-Jiang Zhang, Liu Zhang, Chen-Miao Rui, Lei-Ming Ma, Xiao-Qin Lu

引用次数: 0

摘要

对热带气旋（TC）的准确跟踪可为智能预报热带气旋的路径和强度提供感兴趣的区域。关于自动跟踪热带气旋的算法的研究很少。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Tropical cyclone tracking from geostationary infrared satellite images using deep learning techniques

Accurate tracking of tropical cyclones (TCs) can provide regions of interest for intelligent forecasting of TC tracks and intensity. There have been few studies on algorithms for automatic TC track...

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来源期刊

International Journal of Remote Sensing 工程技术-成像科学与照相技术

CiteScore

7.00

自引率

5.90%

发文量

219

审稿时长

4.8 months

期刊介绍： The International Journal of Remote Sensing ( IJRS) is concerned with the theory, science and technology of remote sensing and novel applications of remotely sensed data. The journal’s focus includes remote sensing of the atmosphere, biosphere, cryosphere and the terrestrial earth, as well as human modifications to the earth system. Principal topics include: • Remotely sensed data collection, analysis, interpretation and display. • Surveying from space, air, water and ground platforms. • Imaging and related sensors. • Image processing. • Use of remotely sensed data. • Economic surveys and cost-benefit analyses. • Drones Section: Remote sensing with unmanned aerial systems (UASs, also known as unmanned aerial vehicles (UAVs), or drones).