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Research on Inversion Mechanism of Chlorophyll-A Concentration in Water Bodies Using a Convolutional Neural Network Model

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成果类型:
期刊论文
作者:
Xue, Yun;Zhu, Lei;Zou, Bin*;Wen, Yi-min;Long, Yue-hong;...
通讯作者:
Zou, Bin
作者机构:
[Long, Yue-hong; Zhu, Lei; Xue, Yun; Zhou, Song-lin] Hunan City Univ, Design Inst Co Ltd, Sch Municipal & Surveying Engn, Yiyang 413000, Peoples R China.
[Xue, Yun; Zou, Bin] Cent South Univ, Sch Geosci & Infophys, Key Lab Metallogen Predict Nonferrous Met & Geol, Changsha 410083, Peoples R China.
[Zhu, Lei] Jiangxi Univ Sci & Technol, Sch Civil & Surveying Engn, Ganzhou 341000, Peoples R China.
[Wen, Yi-min] Guilin Univ Elect Technol, Sch Comp Sci & Informat Secur, Guilin 541004, Peoples R China.
通讯机构:
[Zou, Bin] C
Cent South Univ, Sch Geosci & Infophys, Key Lab Metallogen Predict Nonferrous Met & Geol, Changsha 410083, Peoples R China.
语种:
英文
关键词:
convolutional neural network;chlorophyll-a;Dongting Lake
期刊:
Water
ISSN:
2073-4441
年:
2021
卷:
13
期:
5
页码:
664
基金类别:
Open Fund of the Key Laboratory of Non-ferrous Metal Mineralization Prediction and Geological Environment Monitoring (Central South University) of the Ministry of Education [2020YSJS12]; Hunan Provincial Science and Technology Department [2019SK2112, 2019TP2079, 2018TP1042, 2017TP2006]
机构署名:
本校为第一机构
院系归属:
市政与测绘工程学院
摘要:
For Case-II water bodies with relatively complex water qualities, it is challenging to establish a chlorophyll-a concentration (Chl-a concentration) inversion model with strong applicability and high accuracy. Convolutional Neural Network (CNN) shows excellent performance in image target recognition and natural language processing. However, there little research exists on the inversion of Chl-a concentration in water using convolutional neural networks. Taking China's Dongting Lake as an example, 90 water samples and their spectra were collected in this study. Using eight combinations as indep...

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