Shallow Water Depth Inversed Using Multispectral Satellite Based on Machine Learning

Jinlu Liu; Deyong Sun; Deyu Kong; Xishan Pan; Hongbo Jiao; Zhenghao Li; Shengqiang Wang; Yijun He

doi:10.3788/LOP220584

Laser & Optoelectronics Progress, Volume. 60, Issue 10, 1028007(2023)

Shallow Water Depth Inversed Using Multispectral Satellite Based on Machine Learning

Jinlu Liu¹, Deyong Sun^1,2、*, Deyu Kong³, Xishan Pan³, Hongbo Jiao⁴, Zhenghao Li¹, Shengqiang Wang^1,2, and Yijun He^1,2

Author Affiliations

¹School of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu , China

²Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Nanjing 210044, Jiangsu , China

³Jiangsu Provincial Marine Environment Monitoring Engineering Technology Research Center, Nanjing 210044, Jiangsu , China

⁴National Marine Data and Information Service, Tianjin 300171, China

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Jinlu Liu, Deyong Sun, Deyu Kong, Xishan Pan, Hongbo Jiao, Zhenghao Li, Shengqiang Wang, Yijun He. Shallow Water Depth Inversed Using Multispectral Satellite Based on Machine Learning[J]. Laser & Optoelectronics Progress, 2023, 60(10): 1028007

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Paper Information

Category: Remote Sensing and Sensors

Received: Jan. 20, 2022

Accepted: Feb. 25, 2022

Published Online: May. 10, 2023

The Author Email: Deyong Sun (sundeyong@nuist.edu.cn)

DOI:10.3788/LOP220584

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology