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Toplam kayıt 11, listelenen: 1-10
Aşırı Gradyan Artırma Algoritması Kullanarak Sentinel-1 Zaman Serisi Görüntülerinden Ürün Sınıflandırma
(Fen Bilimleri Enstitüsü, 2021-02-25)
In this thesis, machine learning algorithms were used and made comparison to make classification of summer crop types in Gediz plain by using multitemporal Sentinel-1 SAR satellite images. Extreme Gradient Boosting (XGBoost) ...
Enhancement of Real-time Absolute GNSS Positioning Performance
(Fen Bilimleri Enstitüsü, 2021-06-02)
In recent years, the Global Navigation Satellite System (GNSS) community has experienced dramatic changes with the influence of global technological trends, such as digitalization, big data, artificial intelligence, unmanned ...
Forecasting of Global Vertical Total Electron Content Based on Trigonometric B-Spline with Long Short Term Memory
(Fen Bilimleri Enstitüsü, 2021)
Short term forecasting of Ionosphere is not only an important topic for both near
real-time applications such as single frequency point positioning and navigation, but
also monitoring the ionosphere by data assimilation ...
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 ...
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 ...
Classıfıcatıon of Poınt Clouds Acquıred Through Mobıle Laser Scanner in Urban Areas Usıng Geometrıc and Shape Features
(Fen Bilimleri Enstitüsü, 2021)
The mobile laser scanners (MLS) serve as a high density, high accurate and faster data collection method for urban areas from a street-level surveying perspective. The major processing phases of a MLS point cloud classification ...
Akıllı Telefonlarda Bulunan Konum Belirleme Yöntemleri, Üretilen Konum Verisinin Kullanılabilirliği ve Teknolojik Gelişimi
(Fen Bilimleri Enstitüsü, 2021-06-16)
Cartography, which begins with the desire to locate, describe and plan the region where humankind lives; It is one of the sectors that rapidly develops and changes in line with today's technology and whose product catalog ...
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 ...
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 ...
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. ...