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Student Project | Computer Technology | India | Volume 14 Issue 4, April 2025 | Popularity: 6 / 10
Ship Classification in SAR Images via Densely Connected Triplet CNNs Integrating Fisher Discrimination Regularized Metric Learning
Rayna Elsa Mathai, Sindhu Daniel
Abstract: This paper focuses on ship classification from Synthetic Aperture Radar (SAR) images using a Triplet Convolutional Neural Network (CNN) integrated with Fisher Discrimination Regularized Metric Learning. The system involves dataset creation, triplet sampling, model training, and ship type prediction (Cargo, Passenger, Dredging, Tanker). A GUI built with Tkinter allows users to upload SAR images and view the prediction results.
Keywords: Synthetic Aperture Radar, Fisher Discrimination
Edition: Volume 14 Issue 4, April 2025
Pages: 1584 - 1589
DOI: https://www.doi.org/10.21275/SR25416204849
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