Significant Wave Height Retrieval Based on Multivariable Regression Models Developed With CYGNSS Data-Reference-Cited by-同舟云学术

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Significant Wave Height Retrieval Based on Multivariable Regression Models Developed With CYGNSS Data

Published:2023 Issue: Volume:61 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Wang Changyang¹^ORCID,Yu Kegen¹^ORCID,Zhang Kefei¹^ORCID,Bu Jinwei²^ORCID,Qu Fangyu³

Affiliation:

1. School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou, China

2. Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, China

3. College of Computer Science, Nankai University, Tianjin, China

Funder

National Natural Science Foundation 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/ielx7/36/10006360/10003262.pdf?arnumber=10003262

Reference44 articles.

1. Spaceborne GNSS-R Wind Speed Retrieval Using Machine Learning Methods

2. Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression

3. The Validation of the Weight Function in the Leading-Edge-Derivative Path Delay Estimator for Space-Based GNSS-R Altimetry

4. A novel swarm intelligence optimization approach: sparrow search algorithm

5. Sea Surface Wind Speed Retrieval from the First Chinese GNSS-R Mission: Technique and Preliminary Results

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1. Vegetation Water Content Retrieval from Spaceborne GNSS-R and Multi-Source Remote Sensing Data Using Ensemble Machine Learning Methods;Remote Sensing;2024-07-30

2. Integrating spaceborne GNSS-R and SMOS for sea surface salinity retrieval using artificial neural network;GPS Solutions;2024-07-24

3. An Attention-Aided Convolutional Neural Network for Global Sea Surface Wind Speed Estimation from Gnss-R Data;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

4. An Efficient Technique for Rapid Estimation of Flood Water Levels: Combining CYGNSS GNSS-R L1 Data with DTMS;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

5. A Method for Correcting the GPS Navigation Bit Transitions in the FY-GNOS-II GNSS-R Payload;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

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