Empirical Function Method: A Precise Approach for Filling Data Gaps in Satellite Sea Surface Temperature Imagery-Reference-Cited by-同舟云学术

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Empirical Function Method: A Precise Approach for Filling Data Gaps in Satellite Sea Surface Temperature Imagery

Published:2024 Issue: Volume:62 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zheng Gang¹^ORCID,Li Xiaofeng²^ORCID

Affiliation:

1. State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China,

2. Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China

Funder

Zhejiang Provincial 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/ielx7/36/10354519/10330066.pdf?arnumber=10330066

Reference30 articles.

1. Remote Sensing of the Earth's Surface Temperature

2. Spatial and Temporal Distribution of Clouds Observed by MODIS Onboard the Terra and Aqua Satellites

3. A Comparison of Cloud Cover Statistics from the GLAS Lidar with HIRS

4. Non-variational Sequential Data Assimilation Methods

5. EOF Calculations and Data Filling from Incomplete Oceanographic Datasets*

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3. Machine Learning-Based Algorithm for SAR Wave Parameters Retrieval During a Tropical Cyclone;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

4. Difference-Focusing Fusion Decision Method: An Ensemble Learning Framework and Its Application in Improving Deep Learning Sea–Land Segmentation for Waterline Extraction in Synthetic Aperture Radar Imagery;IEEE Transactions on Geoscience and Remote Sensing;2024

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