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

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

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...

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Bibliographic Details
Main Authors: Yun Xue, Lei Zhu, Bin Zou, Yi-min Wen, Yue-hong Long, Song-lin Zhou
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Water
Subjects:
convolutional neural network
chlorophyll-a
Dongting Lake
Online Access:https://www.mdpi.com/2073-4441/13/5/664

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