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Toplam kayıt 56, listelenen: 1-10
An Approach for the Automatic Segmentation of High Resolution Satellite Images into Agricultural Fields
(Fen Bilimleri Enstitüsü, 2015)
Monitoring and management of land use plays an important role in the economic development of agriculture regions in the world. Satellite images have become very popular data source for crop mapping in agricultural areas. ...
An Approach for the Automatic Detection of Agricultural Field Sub-boundaries from High Resolution Satellite Images
(Fen Bilimleri Enstitüsü, 2014)
Agricultural crop mapping is quite important for crop yield estimation in regional and national scale. Remote sensing images are popular data to identify and classify land cover types in the agricultural areas. The recent ...
Change Detectıon of Buildings from High Resolution Satellite Imagery and Existing Map Data Using Object Based Classification
(Fen Bilimleri Enstitüsü, 2015)
The automatic and accurate detection of buildings and the changes of buildings in urban environment is important for the efficient updating of geographic databases, decision makers, urban planning and management. In this ...
An Approach for Automatic Building Extraction from High Resoluiıon Satellite Images Using Shadow Analysis and Active Contours Model
(Fen Bilimleri Enstitüsü, 2015)
Building extraction is an important task for detecting the changes of buildings, detecting the destroyed buildings, updating the vector maps as well as reconstructing 3D building models. Satellite and airborne images are ...
Sentinel-1 ve Sentinel-2 Verilerinden Tarımsal Ürün Sınıflandırması İçin Makine Öğrenme Algoritmalarının Karşılaştırılması
(Fen Bilimleri Enstitüsü, 2019-02)
In this thesis, machine learning algorithms were compared for object-based classification of multi-date Sentinel-1 SAR and Sentinel-2 optical satellite images of agricultural summer crops grown in Gediz plain. The machine ...
Akıllı Şehir Çalışmaları Kapsamında Tarihi Binaların Üç Boyutlu CBS Ortamında Sunulması: Ankara, Hamamönü Örneği
(Fen Bilimleri Enstitüsü, 2019)
The recent developments in information technologies has led to the preservation of
historical monuments and transferring them to future generations one of the important
tasks for humanity. Advances in 3D modelling methods ...
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 ...
Improving The Performance Of Precise Poınt Positioning With Multi-Gnss
(Fen Bilimleri Enstitüsü, 2017)
Precise Point Positioning (PPP) is the positioning technique which enables centimetre-level positioning accuracy with only one receiver in static mode. The main strength of PPP lies behind the employment of precise orbit ...
NÜKLEER SANTRALLER İÇİN YER BELİRLEME KRİTERLERİNİN COĞRAFİ BİLGİ SİSTEMLERİ İLE DEĞERLENDİRİLMESİ
(Fen Bilimleri Enstitüsü, 2017)
Including nuclear energy as a source of energy is extremely important for Turkey to meet this growing electricity demand and reduce the risks that result from dependency on imported fuels.
To prevent accidents and mitigate ...
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 ...