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Development of a Web Based 3D Visualization and Analytics Platform for Post-Earthquake Assessment
(Fen Bilimleri Enstitüsü, 2021)
Earthquakes are one of the frequently encountered natural hazards. The natural hazards may cause losses of lives, properties, and sometimes both. A thorough investigation of different forms of geoinformation is needed to ...
Near Real-Tıme Web-Based Mappıng Of Lıve Vıdeo Streams From Unmanned Aerıal Vehıcles
(Fen Bilimleri Enstitüsü, 2022)
Unmanned Aerial Vehicles (UAVs) can be controlled autonomously or manually via a ground station and reduce the dependency of mission success on human capability. They can perform tasks longer than a pilot’s ability to carry ...
Açık Kaynaklı Coğrafi Bilgi Teknolojileri ile Drone Hava Trafiğinin Planlanması ve Simülasyon Modelinin Geliştirilmesi
(Fen Bilimleri Enstitüsü, 2022)
Simulation is the imitation of a process, that is expected to take place in the real world, after being modeled in a computer environment, in a lifelike manner. It is a very important technique for being informed about an ...
Identıfıcatıon Of Shıp Route Anomalıes On Aıs Data Usıng Dbscan Algorıthm
(Fen Bilimleri Enstitüsü, 2022)
Maritime is frequently used for purposes such as trade, fishing and transportation. As the intensity of use increases, the safety of maritime transportation becomes an important issue. For this reason, the positions of the ...
In and End of Season Soybean Yıeld Predıctıon Wıth Hıstogram Based Deep Learnıng
(Fen Bilimleri Enstitüsü, 2022)
Depending on climate change and global warming, the yield obtained from agricultural activities is gradually affected. Farmers, government institutions, agricultural insurances need applications that can provide decision ...
Assessment of Machine Learning Methods for Mass Real Estate Appraisal
(Fen Bilimleri Enstitüsü, 2022)
In this thesis, the use of machine learning (ML) approaches for the purpose of real estate mass appraisal was investigated using five different methods in a large area considering the efficiency, accuracy, and transparency. ...
Development of A Deep Learnıng Assısted Webgıs Framework for Updatıng Buıldıng Databases
(Fen Bilimleri Enstitüsü, 2022)
The diversity of the methods for geodata collection has increased significantly in recent years. The need for automated approaches for updating geodatabases has also increased in parallel to this development. In addition ...
Object-Based Urban Land Cover Extraction Using the Synergy of Lidar Data and Very High Resolution Multispectral Imagery
(Fen Bilimleri Enstitüsü, 2023-04)
Up-to-date urban land cover information plays a critical role for urban planning and
management. In this study, an approach was presented for classifying urban land cover
types using the integration of very high ...
Havalimanı Ağaç Mânialarının Tespiti ve İncelenmesi: Tokat Örneği
(Fen Bilimleri Enstitüsü, 2023-03)
One of the most important factors to consider when establishing an airport is the natural
and artificial structures inside and outside the airport. These natural and artificial factors
may cause the limitation of take-off ...
A Hybrid Strategy for Generating Digital Terrain Model From Dense Digital Surface Model Using Cloth Simulation Filter and Total Variation Regularization
(Fen Bilimleri Enstitüsü, 2022)
A Digital Elevation Model (DEM) is a general term used to express the virtual representation of the height values of the Earth's surface. Two of the most widely used DEM types are Digital Surface Model (DSM) and Digital ...