Başlık için Geomatik Mühendisliği Bölümü listeleme
Toplam kayıt 88, listelenen: 14-33
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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 ... -
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 ... -
Çevrimiçi Market Alışveriş Tercihleri ile Perakende Marketler Arasındaki İlişkiler: Ankara - Çankaya İlçesi Örneği
(Fen Bilimleri Enstitüsü, 2022-02)With the improvement of infrastructures in information communication technologies (ICT) and the acceleration of individuals' adaptation to mobile devices, individuals have become "online" in a significant part of their ... -
Defining Dynamic Spatio-Temporal Neighbourhood Of Network Data
(Copernicus Gesellschaft Mbh, 2010)To improve the accuracy and efficiency of space-time analysis, spatio-temporal neighbourhoods (STNs) should be investigated and analysed in the classification, prediction and outlier detection of space-time data. So far ... -
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 Web Based 3D Visualization and Analytics Platform for Post-Earthquake Assessment
(Fen Bilimleri Enstitüsü, 2021)Earthquakes are one of the frequently encountered natural hazards. The natural hazards may cause losses of lives, properties, and sometimes both. A thorough investigation of different forms of geoinformation is needed to ...