A Comparison of Machine Learning and Empirical Approaches for Deriving Bathymetry from Multispectral Imagery

A Comparison of Machine Learning and Empirical Approaches for Deriving Bathymetry from Multispectral Imagery

Knowledge of the precise water depth in shallow areas of the ocean is of great significance to the safe navigation of ships and hydrographic surveying. Compared with traditional bathymetry, satellite remote sensing for water depth determination makes it possible to cover large areas by dynamic obser...

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Bibliographic Details
Main Authors: Wenneng Zhou, Yimin Tang, Wenlong Jing, Yong Li, Ji Yang, Yingbin Deng, Yumeng Zhang
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Remote Sensing
Subjects:
shallow water depth inversion
satellite remote sensing
machine learning
empirical model
Online Access:https://www.mdpi.com/2072-4292/15/2/393

Internet

https://www.mdpi.com/2072-4292/15/2/393

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