Bridging satellite missions: deep transfer learning for enhanced tropical cyclone intensity estimation

IF 6 2区地球科学 Q1 GEOGRAPHY, PHYSICAL

GIScience & Remote Sensing Pub Date : 2024-03-11 DOI:10.1080/15481603.2024.2325720

Minki Choo, Yejin Kim, Juhyun Lee, Jungho Im, Il-Ju Moon

引用次数: 0

Abstract

Geostationary satellites are valuable tools for monitoring the entire lifetime of tropical cyclones (TCs). Although the most widely used method for TC intensity estimation is manual, several automa...

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衔接卫星任务：用于增强热带气旋强度估计的深度转移学习

地球静止卫星是监测热带气旋（TC）整个生命周期的宝贵工具。虽然最广泛使用的热带气旋强度估算方法是人工估算，但也有几种自动估算方法。

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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来源期刊

GIScience & Remote Sensing 地学-遥感

CiteScore

11.20

自引率

9.00%

发文量

审稿时长

6 months

期刊介绍： GIScience & Remote Sensing publishes original, peer-reviewed articles associated with geographic information systems (GIS), remote sensing of the environment (including digital image processing), geocomputation, spatial data mining, and geographic environmental modelling. Papers reflecting both basic and applied research are published.