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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Autores principales: Zhongqiang Wu, Zhihua Mao, Wen Shen
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
ensemble learning
classifier fusion
support vector machine
random forest
multi-adaptive regression spline
neural networks
Science
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Acceso en línea:https://doaj.org/article/e087065784ae455c84f41c1e81bb50f0
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https://doaj.org/article/e087065784ae455c84f41c1e81bb50f0

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