Wind Direction Retrieval From CYGNSS L1 Level Sea Surface Data Based on Machine Learning
Author:
Affiliation:
1. College of Information Technology, Shanghai Ocean University, Shanghai, China
2. Shanghai Spaceflight Institute of TT&C and Telecommunication, Shanghai, China
3. Shanghai Aerospace Space Technology Company Ltd., Shanghai, China
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/9633014/09945974.pdf?arnumber=9945974
Reference38 articles.
1. Wind Speed Retrieval Algorithm for the Cyclone Global Navigation Satellite System (CYGNSS) Mission
2. A Study on Quality Prediction for Smart Manufacturing Based on the Optimized BP-AdaBoost Model
3. Wind Direction Retrieval Using Support Vector Machine from CYGNSS Sea Surface Data
4. A GNSS-R Geophysical Model Function: Machine Learning for Wind Speed Retrievals
5. High Wind Speed Inversion Model of CYGNSS Sea Surface Data Based on Machine Learning
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Remote sensing and its applications using GNSS reflected signals: advances and prospects;Satellite Navigation;2024-05-27
2. Challenges and Future Applications for IRNSS with Machine Learning Algorithms;2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14
3. Ocean Remote Sensing Using Spaceborne GNSS-Reflectometry: A Review;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
4. Research on Sea Surface Wind Speed FM Based on CYGNSS and HY-2B Microwave Scatterometer;IEEE Transactions on Geoscience and Remote Sensing;2024
5. An Improved Double-Branch Network for Estimation of Crater Ages Based on Semisupervised Learning and Multi-Source Lunar Data;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3