Image processing for the aerospace industry

This thesis provides a comprehensive analysis of the use, current applications, and advantages of digital image processing technologies in the aerospace industry. The study examines how image processing techniques, particularly in unmanned aerial vehicles (UAVs), satellite systems, and maintenance-repair processes, enhance operational efficiency and safety. The integration of image processing systems within the framework of Management Information Systems (MIS) is explored, with a detailed focus on the role of machine learning and deep learning algorithms in these workflows. Additionally, the significance of image-processing-based solutions in national defense and space projects is evaluated through case studies and literature review. The findings demonstrate that image processing technologies not only offer technological innovation but also provide strategic superiority and cost advantages, strengthening the competitive position of the sector. Keywords: Aerospace Industry, Deep Learning, Image Processing, Machine Learning, Management Information Systems