Global Sea Surface Height Measurement From CYGNSS Based on Machine Learning-Reference-Cited by-同舟云学术

Global Sea Surface Height Measurement From CYGNSS Based on Machine Learning

Published:2023 Issue: Volume:16 Page:841-852
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Zhang Yun¹,Lu Qi¹,Jin Qin²,Meng Wanting²,Yang Shuhu¹^ORCID,Huang Shen¹,Han Yanling¹,Hong Zhonghua¹^ORCID,Chen Zhansheng³,Liu Weiliang³

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 Co., Ltd., Shanghai, China

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

Reference22 articles.

2. Research on sea surface height inversion of GPS reflected signal based on TechDemoSat-1;zhang;J Beijing Univ Aeronaut Astronaut,2021

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