Remote Sensing Estimation of Chlorophyll-A in Case-II Waters of Coastal Areas: Three-Band Model Versus Genetic Algorithm–Artificial Neural Networks Model

Remote Sensing Estimation of Chlorophyll-A in Case-II Waters of Coastal Areas: Three-Band Model Versus Genetic Algorithm–Artificial Neural Networks Model

Chlorophyll-a (Chl-a), an important indicator of phytoplankton biomass and eutrophication, is sensitive to water constitutes and optical characteristics. An integrated machine learning method of genetic algorithm and artificial neural networks (GA–ANN) was developed to retrieve the concen...

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Bibliographic Details
Main Authors: Jinyue Chen, Shuisen Chen, Rao Fu, Chongyang Wang, Dan Li, Yongshi Peng, Li Wang, Hao Jiang, Qiong Zheng
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Artificial neural networks (ANN)
case-II waters
chlorophyll-a (Chl-a)
coastal areas
genetic algorithm (GA)
machine learning
Online Access:https://ieeexplore.ieee.org/document/9392233/

Internet

https://ieeexplore.ieee.org/document/9392233/

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