Ara
Toplam kayıt 7, listelenen: 1-7
Lidar Verisinden Bina Çatı Düzlemlerinin Otomatik Çıkarımı Ve Modellemesi
(Fen Bilimleri Enstitüsü, 2018)
Being as main factor on 3D city models; building modelling is among the most common field of applications of LiDAR (Light Detection And Ranging) point cloud data. In this study, automatic extraction and modeling of building ...
Açık Kaynaklı Web Tabanlı Coğrafi Bilgi Sistemi Geliştirilmesi
(Fen Bilimleri Enstitüsü, 2018)
Geographical Information Systems (GIS) are increasingly being used by different disciplines and user groups (personal, corporate, etc.). With the advancements of mobile technologies, many applications have started to use ...
Automatıc Roof Plane Extractıon From Lıdar Data Usıng Ransac Algorıthm
(Fen Bilimleri Enstitüsü, 2018-07-05)
Automatic image processing and object extraction from airborne data have become an important topic of research in the field of photogrammetry and remote sensing. The aerial laser scanning system, also known as LiDAR, has ...
Tarımsal Yaz Ürünlerin Sentinel-2 Uydu Görüntülerinden Rastgele Orman Algoritması İle Nesne-Tabanlı Sınıflandırılması
(Fen Bilimleri Enstitüsü, 2018)
In this thesis, the summer crops of the Gediz Plain have been detected using object-based classification with random forest (RF) algorithm from the multi-date Sentinel-2 satellite images of the year 2017. The detected crops ...
Implementatıon And Web-Based Vısualızatıon Of 3d Cıty Models
(Fen Bilimleri Enstitüsü, 2018-06-21)
3D city models have become crucial for a better city management, and can be used for various purposes such as disaster management, navigation, solar potential computation and planning simulations. 3D city models are not ...
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 ...
İNSANSIZ HAVA ARACI GÖRÜNTÜLERİNDEN KENTSEL ALANLARDA ARAÇ TESPİTİ
(Fen Bilimleri Enstitüsü, 2018-02-05)
It is very important for the planning, management and sustainability of urban areas,
especially in metropolitan cities to automatically detect and analyze the change of objects
such as buildings, trees, and vehicles using ...