Başlık için Geomatik Mühendisliği Bölümü Tez Koleksiyonu listeleme
Toplam kayıt 56, listelenen: 35-54
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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 ... -
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 ... -
Mobil Cbs Tabanlı Taşınmaz Değerleme Karar Destek Uygulaması Geliştirilmesi
(Fen Bilimleri Enstitüsü, 2022-02-22)Real estate valuation is important in terms of taxation for government institutions, crediting and insurance sectors and determination of trading values for investors. Real estate valuation is carried out by licensed ... -
Multi-Hazard Susceptibility Map Production for Urban Planning Purposes: Ankara Mamak Case
(Fen Bilimleri Enstitüsü, 2020)Multiple hazards may affect urban areas and integration of susceptibility maps about natural hazards are required for proper site selection and urban planning. Likewise, geological and geotechnical parameters, development ... -
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 ... -
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 ... -
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 ... -
Okyanus Gelgit Yüklemesi Konum Değişimlerinin VLBI Ölçülerinden Kestirimi ve Global Okyanus Gelgit Modelleri ile Doğrulanması
(Fen Bilimleri Enstitüsü, 2020)As a result of the analysis of the measurements of space/satellite geodetic techniques, the defined coordinates of the terrestrial reference frame (TRF) of the earth fixed geodetic control points are estimated. Since the ... -
Point-Based Matching of Oblique Images Acquired from Airplane and UAV Platforms
(Fen Bilimleri Enstitüsü, 2020)Images acquired from airborne oblique sensors and from Unmanned Aerial Vehicles (UAV) are widely used. On one hand, oblique imaging allows better visualization of side views of objects in three dimensional spaces. On the ... -
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, ... -
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 ... -
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 ... -
Super-Resolutıon Image Generatıon From Earth Observatıon Satellıtes Usıng Generatıve Adversarıal Networks
(Fen Bilimleri Enstitüsü, 2022-02-15)The spatial resolution is one of the main criteria representing the level of detail in an image. The necessity for the high spatial resolution has increased with the development in satellite technologies. Using modern ... -
Sürdürülebilir Kent Planlamasında CBS Tabanlı Çok Kriterli Çevresel Risk Analizi: Ankara Gölbaşı Örneği
(Fen Bilimleri Enstitüsü, 2021)Cities, which are residential areas with limited natural resources, where the majority of the population works in the service and industry sectors, where they live together since human beings are social beings; They are ... -
Sımu ve Gnss Ölçülerinin Entegrasyonuna Dayalı Mobil Yersel Gravimetri
(Fen Bilimleri Enstitüsü, 2021)The Earth’s gravity field can be measured with a certain resolution and accuracy using absolute and relative gravimeters installed on a stationary (static) or moving (mobile) base ground, airborne and spaceborne platform. ... -
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 ... -
Tersane Yeri Belirleme Kriterlerinin Oluşturulması ve Coğrafi Bilgi Sistemi ile Değerlendirilmesi
(Fen Bilimleri Enstitüsü, 2019)More than 80 % of the world trade by volume and more than 70% of economic value is being transported onboard ships and handled in the ports. Consistent with this fact, globally, the prominence of the maritime industry in ... -
Türkiye’de Kentler İçin Yaşanabilirliğin Cbs, Sivil Bilim ve Makina Öğrenmesi Yöntemleri Kullanılarak Belirlenmesi
(Fen Bilimleri Enstitüsü, 2021)In this study, an approach based on geographic information systems (GIS), citizen science (CitSci) and machine learning (ML) methods was developed in order to assess liveability in Turkish cities. Within the scope of the ... -
Vegetatıon Cover Extractıon And Monıtorıng Usıng Images Obtaıned From Aerıal And Satellıte Platforms
(Fen Bilimleri Enstitüsü, 2021)Vegetation cover has an essential role in both urban and rural environments in several aspects, such as mitigating urban heat island effect, sustaining ecological balance, preserving biodiversity, improving the quality of ... -
Web Tabanlı Gönüllü Coğrafi Bilgi Sistemi Geliştirilmesi ile E-Hizmet Kalitesinin İyileştirilmesi
(Fen Bilimleri Enstitüsü, 2019-06-15)The rapid increase of the population and the fact that the majority of population lives in cities cause deterioration in the environment. Constantly changing and developing cities face deteriorations in the public services ...