Node-splitting optimized canonical correlation forest algorithm for sea fog detection using MODIS data

Node-splitting optimized canonical correlation forest algorithm for sea fog detection using MODIS data

In this paper, a node splitting optimized canonical correlation forest algorithm for sea fog detection is proposed by using active and passive satellites. The traditional canonical correlation forest (CCF) algorithm insufficiently accounts for the spectral characteristics and the reliability of each...

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Bibliographic Details
Main Authors: Li, J. (Author), Liu, S. (Author), Sheng, H. (Author), Wan, J. (Author), Xu, M. (Author)
Format: Article
Language:English
Published: Optica Publishing Group (formerly OSA) 2022
Subjects:
Active satellites
algorithm
article
Canonical correlations
classifier
correlation analysis
entropy
Fog
Fog detection
forest
Forestry
Information gain
Model generation
Node-splitting
Passive satellites
reliability
Sea fog
Spectral characteristics
Splitting criterion
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