Başlık için Geomatik Mühendisliği Bölümü listeleme
Toplam kayıt 88, listelenen: 8-27
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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 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) ... -
Automatic Pipeline Route Design With Multi-Criteria Evaluation Based On Least-Cost Path Analysis And Line-Based Cartographic Simplification: A Case Study Of The Mus Project In Turkey
(2019)The design of a natural gas pipeline route is a very important stage in Natural Gas Transmission Pipeline projects. It is a very complicated process requiring many different criteria for various areas to be evaluated ... -
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) ... -
Automatic Retrieval of Near Photo-Realistic Textures from Single Ground-Level Building Images
(Copernicus Gesellschaft Mbh, 2010)An approach is presented for the automatic retrieval of near photo-realistic textures from single ground-level building images. First, the building facade texture is extracted using the Watershed segmentation technique, ... -
Automatic Segmentation Of Colon Glands Using Object-Graphs
(Elsevier Science Bv, 2010)Gland segmentation is an important step to automate the analysis of biopsies that contain glandular structures. However, this remains a challenging problem as the variation in staining, fixation, and sectioning procedures ... -
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 ... -
Building Detection From Pan-Sharpened Ikonos Imagery Through Support Vector Machines Classification
(Copernicus Gesellschaft Mbh, 2010)An approach is presented for detecting the buildings from high resolution pan-sharpened IKONOS imagery through binary Support Vector Machines (SVM) classification. In addition to original spectral bands, the bands nDSM ... -
Building Extraction from High Resolution Satellite Images Using Hough Transform
(Copernicus Gesellschaft Mbh, 2010)An approach was developed for the automatic extraction of the rectangular and circular shaped buildings from high resolution satellite imagery using Hough transform. First, the candidate building patches are detected from ... -
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 ...