Comparison of Machine Learning Techniques in Inferring Phytoplankton Size Classes

Comparison of Machine Learning Techniques in Inferring Phytoplankton Size Classes

The size of phytoplankton not only influences its physiology, metabolic rates and marine food web, but also serves as an indicator of phytoplankton functional roles in ecological and biogeochemical processes. Therefore, some algorithms have been developed to infer the synoptic distribution of phytop...

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Bibliographic Details
Main Authors: Shuibo Hu, Huizeng Liu, Wenjing Zhao, Tiezhu Shi, Zhongwen Hu, Qingquan Li, Guofeng Wu
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Remote Sensing
Subjects:
phytoplankton size classes
machine learning
feature selection
random forest
remote sensing
Online Access:http://www.mdpi.com/2072-4292/10/3/191

Internet

http://www.mdpi.com/2072-4292/10/3/191

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