Integrating Multiple Datasets and Machine Learning Algorithms for Satellite-Based Bathymetry in Seaports

Integrating Multiple Datasets and Machine Learning Algorithms for Satellite-Based Bathymetry in Seaports

Water depth estimation in seaports is essential for effective port management. This paper presents an empirical approach for water depth determination from satellite imagery through the integration of multiple datasets and machine learning algorithms. The implementation details of the proposed appro...

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Auteurs principaux: Zhongqiang Wu, Zhihua Mao, Wen Shen
Format: article
Langue:EN
Publié: MDPI AG 2021
Sujets:
ensemble learning
classifier fusion
support vector machine
random forest
multi-adaptive regression spline
neural networks
Science
Q
Accès en ligne:https://doaj.org/article/e087065784ae455c84f41c1e81bb50f0
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https://doaj.org/article/e087065784ae455c84f41c1e81bb50f0

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