Thesis Type: Postgraduate
Institution Of The Thesis: Gazi University, Fen Bilimleri Enstitüsü, Turkey
Approval Date: 2024
Thesis Language: Turkish
Student: Hüseyin YATTIKALKMAZ
Supervisor: Dilek Akbulut
Abstract:
The survival of high-value military assets is contingent upon the optimisation and minimisation of their detectability. This is frequently accomplished by aligning the camouflage methodology with the specific operational environment, underscoring the significance of evaluating the efficacy of these strategies in minimizing target detection. The objective of this study is to examine the impact of incorporating colour data from the operational environment on the efficacy of military camouflage surfaces. Furthermore, the relationship between professional army experience and the ability to detect camouflaged objects is examined. In this regard, a methodology has been devised whereby the colour data obtained through the segmentation of terrain photographs using the k-Means clustering algorithm is employed as an input in the design process. The experimental design examples were evaluated in a laboratory setting, with performance assessments based on human observation, and the beneficial impact of the designs on stealth performance was demonstrated.
Key Words : Camouflage design, military camouflage surfaces, situational awareness, stealth performance