Atmospheric correction for HY-1C CZI images using neural network in western Pacific region-Reference-Cited by-同舟云学术

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Atmospheric correction for HY-1C CZI images using neural network in western Pacific region

Published:2022-02-08 Issue:3 Volume:25 Page:476-488
ISSN:1009-5020
Container-title:Geo-spatial Information Science
language:en
Short-container-title:Geo-spatial Information Science

Author:

Men Jilin¹^ORCID,Liu Jianqiang²,Xia Guangping¹,Yue Tong³,Tong Ruqing¹,Tian Liqiao¹,Arai Kohei⁴,Wang Linyu⁵

Affiliation:

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

2. Ministry of Natural Resource of the People’s Republic of China, National Satellite Ocean Application Service, Beijing, China

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

4. Department of Information Science, Saga University, Saga, Japan

5. Department of Urban Development, Wuhan Land Containment and Reserve Center, Wuhan, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

LIESMARS Special Research Funding

the “985 Project” of Wuhan University, and Special funds of State Key Laboratory for equipment

Publisher

Informa UK Limited

Subject

Computers in Earth Sciences,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10095020.2021.2009314

Reference29 articles.

1. Atmospheric correction of SeaWiFS ocean color imagery in the presence of absorbing aerosols off the Indian coast using a neuro-variational method

2. Atmospheric correction of MERIS data for case-2 waters using a neuro-variational inversion

3. A neural network model for remote sensing of diffuse attenuation coefficient in global oceanic and coastal waters: Exemplifying the applicability of the model to the coastal regions in Eastern China Seas

4. Approximation by superpositions of a sigmoidal function

5. Phytoplankton determination in an optically complex coastal region using a multilayer perceptron neural network

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1. Evaluation of five atmospheric correction algorithms for multispectral remote sensing data over plateau lake;Ecological Informatics;2024-09

2. Construction of a Radiometric Degradation Model for Ocean Color Sensors of HY1C/D;IEEE Transactions on Geoscience and Remote Sensing;2024

3. Atmospheric correction algorithm based on deep learning with spatial-spectral feature constraints for broadband optical satellites: Examples from the HY-1C Coastal Zone Imager;ISPRS Journal of Photogrammetry and Remote Sensing;2023-11

4. Global ocean observations and applications by China’s ocean satellite constellation;Intelligent Marine Technology and Systems;2023-10-18

5. HY-1C/D CZI Image Atmospheric Correction and Quantifying Suspended Particulate Matter;Remote Sensing;2023-01-08

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