Master’s thesis in the Department of Computer Science discusses identifying the spread of residential buildings from satellite images using deep learning technology

The Department of Computer Science defended the master’s thesis titled

Determining The Spread Of Residentail Buildings Through Satellite Image Using Deep Learning Technique

Master’s student Omar Abdul Latif Abdul Jabbar Computer Science / General. On Thursday 2/27/2025 at the hall of the late Dr. Imad Kazem

The thesis aims to build a system that can detect the spread of housing in agricultural areas in Baghdad using deep learning techniques and satellite images by proposing the CNN convolutional neural network algorithm.

The discussion committee consisted of Prof. Dr. Abdulamir Abdullah as chairman and members Dr. Dr. Suhad Malallah Kazim, Dr. Asmaa Sadiq Abduljabbar, and Dr. Ahmed Tariq Sadiq, member and supervisor.