Synthetic Aperture Radar-Based Ship Classification Using CNN and Traditional Handcrafted Features - researchr publication authors

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Ebrahim Ali Nehary, Ankita Dey, Sreeraman Rajan, Bhashyam Balaji, Anthony Damini, Rajkumar Chanchlani. Synthetic Aperture Radar-Based Ship Classification Using CNN and Traditional Handcrafted Features. In IEEE Sensors Applications Symposium, SAS 2023, Ottawa, ON, Canada, July 18-20, 2023. pages 1-6, IEEE, 2023. [doi]

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