The project titled "Deep Learning-Based Change Detection in Aerial Images," prepared by Emre Kazancı, a Computer Engineering student at the Faculty of Engineering and Architecture at Kastamonu University, under the supervision of Assistant Professor Dr. Ahmet Nusret Özalp, has been accepted within the scope of the 2025–2026 SAYZEK (Defense Industry Artificial Intelligence Capability Cluster) Academic Thesis Program. 

The project aims to detect changes in images obtained from manned and unmanned aerial platforms at different times and angles using artificial intelligence-based methods and to transfer this data to geographical maps.

The expected outputs are designed for use in critical areas, such as post-disaster damage assessment, forest fire monitoring, and security applications. The study aims to identify real changes occurring in fixed objects, such as buildings, forests, and roads, with high accuracy by filtering out scene changes caused by moving platforms, like cars. 

Our Rector, Prof. Dr. Ahmet Hamdi Topal, made the following assessment regarding the project:

The defense industry and artificial intelligence technologies are among the most strategic fields of study today. We are extremely pleased that our students are producing high-quality projects in these areas. I believe that the project in question will make valuable contributions to disaster management and environmental monitoring efforts. We congratulate our student, Emre Kazancı, and his advisor, Assist. Prof. Dr. Ahmet Nusret Özalp, and wish them continued success". 

Our Rector also thanked YÖK President Prof. Dr. Erol Özvar for his contributions to supporting qualified research in higher education. He also expressed his gratitude to Prof. Dr. Haluk Görgün, the President of Defense Industries, for the encouragement and support provided to the projects carried out at our university.