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Toplam kayıt 4, listelenen: 1-4
Lidar Nokta Bulutu Verisi ve Yüksek Çözünürlüklü Ortofotolar Kullanarak Bina Çıkarımı İçin Bir Yaklaşım
(Fen Bilimleri Enstitüsü, 2018)
Nowadays, with the development of sensor technologies in remote sensing, there has been a significant increase in object detection studies. Particulary, building detection is among the common fields and important applications ...
Icesat-2 Nokta Bulutu Verilerinden Kar Kalınlığı Belirleme Potansiyelinin Araştırılması
(Fen Bilimleri Enstitüsü, 2021)
Snow is one of the types of precipitation that is vital for ecosystems and the continuation of life cycles. However, in order to predict avalanche events that may occur as a result of heavy snowfall, it is important to ...
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 ...
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 ...