Dil "en" Geomatik Mühendisliği Bölümü için listeleme
Toplam kayıt 64, listelenen: 1-20
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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 ... -
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 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 ... -
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 ...
