Dil "en" Geomatik Mühendisliği Bölümü Tez Koleksiyonu için listeleme
Toplam kayıt 41, listelenen: 1-20
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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 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 ... -
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. ... -
Automatic Reconstruction and Efficient Visualization of 3D City Models
(Fen Bilimleri Enstitüsü, 2023-04-19)Today, migration from rural areas, continuous change in cities and the increasing complexity of their structure yielded the need of new methods to increase efficiency in their management. The demand for 3 dimensional (3D) ... -
Automatıc Roof Plane Extractıon From Lıdar Data Usıng Ransac Algorıthm
(Fen Bilimleri Enstitüsü, 2018-07-05)Automatic image processing and object extraction from airborne data have become an important topic of research in the field of photogrammetry and remote sensing. The aerial laser scanning system, also known as LiDAR, has ... -
Burned Forest Area Mapping From Post-Fire Sentinel-2 Imagery Using Object-Based Machine Learning Classification
(Fen Bilimleri Enstitüsü, 2024)Forest fires cause serious damage not only to the ecosystem in the forest but also to social and economic life. Rapid detection of burned areas with remote sensing methods is important both to determine the current damage ... -
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 ... -
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 ... -
Comparative Calculation of 3-Dimensional Surface Area and Water Flow Direction from Digital Elevation Models: A Case Study For The Agricultural Land in Eskisehir-Cifteler Irrigation
(Fen Bilimleri Enstitüsü, 2023-06-23)The significance of agricultural production and, consequently, numerous agriculture-related parameters are becoming the primary focus of the digitalized world, and with the 2019 pandemic, the significance of food was ... -
Comparison of Single, Dual and Triple Frequency Cycle-Slip Detection Methods for Multi-GNSS
(Fen Bilimleri Enstitüsü, 2023-09-14)Global Navigation Satellite Systems (GNSS) is now widely recognized as a revolutionary invention in navigation and precise positioning on the Earth. The development of positioning systems from space, which started with GPS ... -
DETERMINATION OF THE OIL PIPELINE ROUTE, OIL SPILL PATH AND VOLUME OF OIL BY MULTI-CRITERIA ANALYSIS
(Fen Bilimleri Enstitüsü, 2024)This thesis study focuses on implementing Geographical Information Systems (GIS) to identify potential spill locations and estimate crude oil pipeline routes. A groundbreaking approach introduces a least-cost path algorithm, ... -
Development of A Deep Learning Approach for 3Dimensional Point Cloud Classification
(Fen Bilimleri Enstitüsü, 2024-09)3D point cloud classification is a crucial step in point cloud processing, as it serves as the foundation for subsequent processes that rely on the classification results. With the increasing volume of 3D point cloud ... -
Development of A Deep Learnıng Assısted Webgıs Framework for Updatıng Buıldıng Databases
(Fen Bilimleri Enstitüsü, 2022)The diversity of the methods for geodata collection has increased significantly in recent years. The need for automated approaches for updating geodatabases has also increased in parallel to this development. In addition ... -
Development of a Gis-Based Approach for the Risks Sourced From Natural Hazards on the Natural Gas Pipelines in Türkiye
(Fen Bilimleri Enstitüsü, 2024-07-09)The reliable operation of natural gas pipelines is of vital importance in meeting the energy demands of contemporary societies. However, the integrity of these pipelines is often compromised by geological hazards. This ...
