Integrating Multiple Datasets and Machine Learning Algorithms for Satellite-Based Bathymetry in Seap...
Integrating Multiple Datasets and Machine Learning Algorithms for Satellite-Based Bathymetry in Seaports
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
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 approach are provided and compared against different ex...
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Full title
Integrating Multiple Datasets and Machine Learning Algorithms for Satellite-Based Bathymetry in Seaports
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TN_cdi_doaj_primary_oai_doaj_org_article_e087065784ae455c84f41c1e81bb50f0
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e087065784ae455c84f41c1e81bb50f0
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs13214328
