A hybrid deep learning framework combining transformer and logistic regression models for automatic marine mucilage detection using sentinel-1 SAR data: A case study in Armutlu-Zeytinbağı, Marmara Sea

• Enes Bakis,

  Roles Conceptualization, Investigation, Resources, Visualization, Writing – original draft

  Affiliation Electrical and Electronics Engineering Department, University of Piri Reis, İstanbul, Istanbul, Turkey

  https://orcid.org/0000-0003-0086-0206

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• Emrullah Acar,

  Roles Conceptualization, Formal analysis, Project administration, Resources, Validation, Writing – review & editing

  Affiliation Electrical and Electronics Engineering Department, University of Batman, Batman, Turkey

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• Musa Yilmaz

  Roles Formal analysis, Methodology, Project administration, Software, Supervision

  * E-mail: musay@ucr.edu

  Affiliations Electrical and Electronics Engineering Department, University of Batman, Batman, Turkey, Bourns College of Engineering, Center for Environmental Research and Technology, University of California at Riverside, Riverside, California, United States of America

  https://orcid.org/0000-0002-2306-6008

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