Noise Reduced SAR Ship Database

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dc.contributor.authorHanbay, Kazim
dc.contributor.authorUzen, Huseyin
dc.contributor.authorOzdemir, Taha Burak
dc.contributor.authorErcelik, Cetin
dc.date.accessioned2026-04-04T13:18:59Z
dc.date.available2026-04-04T13:18:59Z
dc.date.issued2024
dc.departmentİnönü Üniversitesi
dc.description8th International Artificial Intelligence and Data Processing Symposium, IDAP 2024 -- 21 September 2024 through 22 September 2024 -- Malatya -- 203423
dc.description.abstractSynthetic aperture radar (SAR) images are used extensively in agricultural applications, coastal boundary detection and object recognition. This imaging technology provides desired results in many challenging applications due to its ability to provide images with appropriate resolution in harsh weather and climate conditions. In this study, an image database was created to detect ships from SAR images. The images were preprocessed in accordance with the literature and made suitable for ship detection methods. The noise in the images was reduced with a deep learning-based architecture. Using this database, image processing and machine learning methods were used to develop ship detection methods. © 2024 IEEE.
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK, (T BITAK 123E344); Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK
dc.identifier.doi10.1109/IDAP64064.2024.10710785
dc.identifier.isbn979-833153149-2
dc.identifier.scopus2-s2.0-85207937676
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/IDAP64064.2024.10710785
dc.identifier.urihttps://hdl.handle.net/11616/108047
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof8th International Artificial Intelligence and Data Processing Symposium, IDAP 2024
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250329
dc.subjectimage processing
dc.subjectSAR image
dc.subjectship detection
dc.titleNoise Reduced SAR Ship Database
dc.typeConference Object

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