Browsing Geomatik Mühendisliği Bölümü by Title
Now showing items 1-20 of 97
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A Convolutional Neural Network Architecture For Auto-Detection Of Landslide Photographs To Assess Citizen Science And Volunteered Geographic Information Data Quality
(2019)Several scientific processes benefit from Citizen Science (CitSci) and VGI (Volunteered Geographical Information) with the help of mobile and geospatial technologies. Studies on landslides can also take advantage of these ... -
A Hybrid Strategy for Generating Digital Terrain Model From Dense Digital Surface Model Using Cloth Simulation Filter and Total Variation Regularization
(Fen Bilimleri Enstitüsü, 2022)A Digital Elevation Model (DEM) is a general term used to express the virtual representation of the height values of the Earth's surface. Two of the most widely used DEM types are Digital Surface Model (DSM) and Digital ... -
A Min-Cut Based Filter for Airborne Lidar Data
(Copernicus Gesellschaft Mbh, 2016)LiDAR (Light Detection and Ranging) is a routinely employed technology as a 3-D data collection technique for topographic mapping. Conventional workflows for analyzing LiDAR data require the ground to be determined prior ... -
A Novel Performance Assessment Approach Using Photogrammetric Techniques For Landslide Susceptibility Mapping With Logistic Regression, Ann And Random Forest
(2019)Prediction of possible landslide areas is the first stage of landslide hazard mitigation efforts and is also crucial for suitable site selection. Several statistical and machine learning methodologies have been applied for ... -
A Sustainable Municipal Gis Study with Urban Design Criteria and Policy
(Fen Bilimleri Enstitüsü, 2024)The escalating population in urban areas underscores the critical importance of managing and planning cities effectively. Ensuring the sustainability of cities and creating livable spaces for people necessitates the planning ... -
Accuracy Assessment Of Polar Motion And Universal Time (UT1) Observed By VLBI At Sub-Diurnal Periods
(Fen Bilimleri Enstitüsü, 2019-06)Earth rotation parameters (ERP): polar motion coordinates and Universal Time (UT1) have a significant impact basically on the terrestrial and celestial reference system relations, orbit determination, and deep-space ... -
Açık Kaynaklı Coğrafi Bilgi Teknolojileri ile Drone Hava Trafiğinin Planlanması ve Simülasyon Modelinin Geliştirilmesi
(Fen Bilimleri Enstitüsü, 2022)Simulation is the imitation of a process, that is expected to take place in the real world, after being modeled in a computer environment, in a lifelike manner. It is a very important technique for being informed about an ... -
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 ... -
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 ... -
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 ... -
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 ... -
An Approach for Multi-Hazard Susceptibility Assessment For Landslides, Earthquakes And Floods
(Fen Bilimleri Enstitüsü, 2023-03-29)Production of precise and up-to-date susceptibility maps at regional level is essential for mitigating disasters, selecting new sites for settlements and construction, and planning in areas prone to various natural hazards. ... -
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 ... -
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. ... -
Analysis of Wavelet Type and Noise in Relative Radiometric Normalization Based on Multiresolution Analysis
(Fen Bilimleri Enstitüsü, 2022-01)Change detection with satellite imagery has numerous usage areas and the number of Earth Observing Satellites which can be utilized in the analysis are expanding. Temporal differencing based change detection methods require ... -
Assessment of Machine Learning Methods for Mass Real Estate Appraisal
(Fen Bilimleri Enstitüsü, 2022)In this thesis, the use of machine learning (ML) approaches for the purpose of real estate mass appraisal was investigated using five different methods in a large area considering the efficiency, accuracy, and transparency. ... -
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) ...
