Friday, 22 January 2021 12:08

A master's thesis in the Department of Computer Science discusses the classification of composite gap radar images using multiple segmentation and a hierarchical classification structure.

- The Department of Computer Science discussed the MSc thesis tagged “Composite gap radar classification using multiple hash and classification structure Hierarchy for a master's student (Aseel Sami Ali) in Computer Science / Information Systems in the discussion room in the Computer Science Department building. This thesis proposes a classification system based on education transmission with bypass neural networks to classify the SAR image and it consists of eight Phase. Five experiments were proposed on this system to compare the results, and the message gave correct predictions for all groups. The discussion committee consisted of: Prof. Dr. Abd Al-Amir Abdullah as Chairman, and Prof. Dr. Ghada Kadhim Nehme as a member, and Prof. Dr. Rahim Abdel-Saheb Okla as a member and Prof. Dr. Muthail Emad Al-Din as a member And admin.





Source: Department's Media

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