Başlık için Geomatik Mühendisliği Bölümü listeleme
Toplam kayıt 88, listelenen: 60-79
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Object-Based Crop Pattern Detection From Ikonos Satellite Images In Agricultural Areas
(2019)Nowadays, with the development of remote sensing technologies and image processing methods, satellite images have become frequently preferred in studies to determine the crop pattern in agricultural areas. In this study, ... -
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 ... -
Radiometric and Geometric Accuracy Analysis of Rasat Pan Imagery
(Copernicus Gesellschaft Mbh, 2016)RASAT is the second Turkish Earth Observation satellite which was launched in 2011. It operates with pushbroom principle and acquires panchromatic and MS images with 7.5 m and 15 m resolutions, respectively. The swath width ... -
Road and Roadside Feature Extraction Using Imagery and Lidar Data For Transportation Operation
(Copernicus Gesellschaft Mbh, 2015)Transportation agencies require up-to-date, reliable, and feasibly acquired information on road geometry and features within proximity to the roads as input for evaluating and prioritizing new or improvement road projects. ... -
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, ... -
Semi-Automatic 3D City Model Generation From Large-Format Aerial Images
(Mdpi, 2018)3D city models have become crucial for 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 only ... -
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 ... -
Spatio-Temporal Clustering For Non-Recurrent Traffic Congestion Detection On Urban Road Networks
(Pergamon-Elsevier Science Ltd, 2014)Non-Recurrent Congestion events (NRCs) frustrate commuters, companies and traffic operators because they cause unexpected delays. Most existing studies consider NRCs to be an outcome of incidents on motorways. The differences ... -
Statistical Discrimination Of Global Post-Seismic Ionosphere Effects Under Geomagnetic Quiet And Storm Conditions
(Taylor & Francis Ltd, 2017)The retrospective statistical analysis of total electron content (TEC) is carried out using global ionospheric maps (GIM) for 1999-2015. TEC anomalies are analysed for 2670 earthquakes (EQ) from M6.0 to M10.0 classified ... -
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 ...