A Neural Network-Based Atmospheric Correction Algorithm for GOCI Imagery Over Coastal Waters-Reference-Cited by-同舟云学术

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A Neural Network-Based Atmospheric Correction Algorithm for GOCI Imagery Over Coastal Waters

Published:2024 Issue: Volume:62 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Men Jilin¹^ORCID,Yao Tianle²^ORCID,Yang Can³,Tian Liqiao¹^ORCID

Affiliation:

1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

2. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

3. Environment Research Institute, Shandong University, Qingdao, China

Funder

Special funds of State Key Laboratory for equipment

National Natural Science Foundation of China

the National Key R&D Program of China

the ?985 Project? of Wuhan University

LIESMARS Special Research Funding

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10342883.pdf?arnumber=10342883

Reference67 articles.

1. Ranking environmental degradation trends of plastic marine debris based on physical properties and molecular structure

2. Declining oxygen in the global ocean and coastal waters

3. Satellite Remote Sensing for Water Resources Management: Potential for Supporting Sustainable Development in Data‐Poor Regions

4. Diurnal changes of a harmful algal bloom in the East China Sea: Observations from GOCI

5. Tracing floating green algae blooms in the Yellow Sea and the East China Sea using GOCI satellite data and Lagrangian transport simulations

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