Ara
Toplam kayıt 8, listelenen: 1-8
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 ...
Automatic Reconstruction and Efficient Visualization of 3D City Models
(Fen Bilimleri Enstitüsü, 2023-04-19)
Today, migration from rural areas, continuous change in cities and the increasing complexity of their structure yielded the need of new methods to increase efficiency in their management. The demand for 3 dimensional (3D) ...
EcoSnap: A Mobile Application for Enhancing Governance and Addressing Environmental Issues in Smart Cities
(Fen Bilimleri Enstitüsü, 2023)
With the increasing population and urbanization, urban planning has become a complex and challenging task. In recent years, the concept of smart cities has emerged as a potential solution to these challenges by integrating ...
Comparison of Single, Dual and Triple Frequency Cycle-Slip Detection Methods for Multi-GNSS
(Fen Bilimleri Enstitüsü, 2023-09-14)
Global Navigation Satellite Systems (GNSS) is now widely recognized as a revolutionary invention in navigation and precise positioning on the Earth. The development of positioning systems from space, which started with GPS ...
SAR ve optik uydu verileri kullanılarak taşkın haritalamasi için füzyon yöntemi geliştirilmesi
(Fen Bilimleri Enstitüsü, 2023)
In this thesis, a feature-level data fusion methodology was developed using the random forest (RF) approach, which is one of the frequently utilized machine learning methods for natural hazard assessments. For this purpose, ...
Comparative Calculation of 3-Dimensional Surface Area and Water Flow Direction from Digital Elevation Models: A Case Study For The Agricultural Land in Eskisehir-Cifteler Irrigation
(Fen Bilimleri Enstitüsü, 2023-06-23)
The significance of agricultural production and, consequently, numerous agriculture-related
parameters are becoming the primary focus of the digitalized world, and with the 2019
pandemic, the significance of food was ...
Sunflower Yield Estimaton Using Synthetic Aperture Radar and Optical Data
(Fen Bilimleri Enstitüsü, 2023)
The scope of the presented thesis, it is aimed to obtain highly accurate yield estimation by applying Artificial Neural Networks (ANN) and Simple Linear Regression (SLR) methods on sunflower parcels in a certain area using ...