Student:	Oğuzhan KINALI
Supervisor:	Prof. Dr. Fevzi KARSLI
Department:	Harita Mühendisliği
Institution:	Graduate School of Natural and Applied Sciences
University:	Karadeniz Technical University Turkey

Title of the Thesis:	AUTOMATIC DETECTION OF THE HISTORICAL FACADE TEXTURE THROUGH POINT CLOUDS PRODUCED BY DIFFERENT METHODS
Level:	M.Sc.
Acceptance Date:	22/3/2021
Number of Pages:	103
Registration Number:	i3865

Summary:

Our country has hosted many civilizations and thus has a large number of cultural

assets. It is extremely important to transfer these discovered or awaiting cultural assets to

the future. In the past, the relays drawn using the measurements obtained by manual methods

were used in the architectural relief studies of cultural assets, but now the use of local and

airborne photogrammetric and 3D acquisition techniques has become widespread. In this

thesis, it is a tool that has ± 2 mm and sub-cm accuracy in the terrestrial laser scanner device

in the documentation processes in architectural studies to be carried out for the preservation

of cultural assets and their transfer to the future, and it is a device that is difficult to carry,

sensitive and requires high cost in 3D data production, but should be chosen first. It has been

determined that. The data obtained by the terrestrial photogrammetry method are ± 2 cm and

devices; However, it has turned out to be a method affected by surface texture and

environmental light factors. However, it has been concluded that UAVs are a preferred tool

to be used after terrestrial photogrammetry due to possible image defects due to

photographing in motion.

Key Words: Terrestrial and Airborne Photogrammetry, Drone, Terrestrial Laser Scanning,

Accuracy, Sensitivity, Point Cloud, 2D Continuous Wavelet Analysis (2D CWT)