Advanced ship detection and ocean monitoring with satellite imagery and deep learning for marine science applications

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dc.contributor.authorBakirci, Murat
dc.date.accessioned2025-03-17T12:25:57Z
dc.date.available2025-03-17T12:25:57Z
dc.date.issued2025
dc.departmentTarsus Üniversitesi
dc.description.abstractShip detection from satellite imagery is a powerful tool in marine science, offering crucial understanding of vessel traffic patterns, fishing activities, and environmental impacts on marine ecosystems. The ability to monitor ship movements on a large scale aids in assessing anthropogenic pressures on sensitive habitats, enforcing regulatory compliance, and supporting conservation efforts in protected areas. This study offers a fresh perspective on ship detection in oceanic environments by pioneering the evaluation of YOLOv9, a cutting-edge detection algorithm, within this domain for the first time. Applying a diverse set of data augmentation techniques significantly improved the algorithm's ability to detect small ships. Additionally, atmospheric scattering effects commonly present in satellite images were mitigated through filtering, further enhancing detection performance. With a remarkable increase in speed and significantly superior performance, particularly in detecting small ships and minimizing detection time, YOLOv9 emerges as the premier candidate for real-time applications and timesensitive critical operations.
dc.identifier.doi10.1016/j.rsma.2024.103975
dc.identifier.issn2352-4855
dc.identifier.scopus2-s2.0-85212577627
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.rsma.2024.103975
dc.identifier.urihttps://hdl.handle.net/20.500.13099/1956
dc.identifier.volume81
dc.identifier.wosWOS:001392570200001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorBakirci, Murat
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofRegional Studies in Marine Science
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250316
dc.subjectShip detection
dc.subjectYOLOv9
dc.subjectOcean monitoring
dc.subjectDeep learning
dc.subjectMaritime safety
dc.subjectSatellite imagery
dc.titleAdvanced ship detection and ocean monitoring with satellite imagery and deep learning for marine science applications
dc.typeArticle

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