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Geometric deformation analysis in free geodetic networks: case study for Fruska Gora in Serbia
(Academy of Sciences of the Czech Republic,, 2017)
The deformation measurements are performed for the purpose of obtaining information concerning ground movement and objects on the ground within given time intervals. For the purpose of improving conventional models of ...
Testing straightness of line objects using total least squares / Testiranje pravosti linijskih objekata primenom potpunog metoda najmanjih kvadrata
(Savez inženjera i tehničara Srbije, Beograd, 2017)
The paper presents the adaptation (fitting) of a set of points, with an estimated two-dimensional positions, to the straight line model of the by the application of the Weighted Total Least Squares, WTLS. The traditional ...
Layer-specific spatial prediction of As concentration in copper smelter vicinity considering the terrain exposure
(Elsevier B.V., 2017)
Prevailing climatic conditions and local topography can be classified as the most influential environmental factors that affect the spatial dispersion of pollutants emanating from industrial sources. In this study, the ...
Comparison of expert, deterministic and Machine Learning approach for landslide susceptibility assessment in Ljubovija Municipality, Serbia
(Geofizika, 2017)
Landslide Susceptibility Assessment is becoming a very productive re-search area, wherein different modeling approaches are practiced to delineate zones of the high-low likelihood of landslide occurrence. However, ...
Metoda laserskog skeniranja u geodetskom inženjerstvu
(Građevinski kalendar, 2017)
SoilGrids250m: Global gridded soil information based on machine learning
(Public Library of Science, 2017)
This paper describes the technical development and accuracy assessment of the most recent and improved version of the SoilGrids system at 250m resolution (June 2016 update). SoilGrids provides global predictions for standard ...
Machine Learning Techniques for Modelling Short Term Land-Use Change
(MDPI AG, 2017)
The representation of land use change (LUC) is often achieved by using data-driven methods that include machine learning (ML) techniques. The main objectives of this research study are to implement three ML techniques, ...
Weighted coordinate transformation formulated by standard least-squares theory
(Taylor and Francis Ltd., 2017)
This paper presents a universal model of weighted coordinate transformation, i.e. transformation considering the errors of coordinates in both coordinate systems. It is intrinsically one of the typical examples of ...
Error model of direct georeferencing procedure of terrestrial laser scanning
(Elsevier B.V., 2017)
Processing of raw point cloud data obtained as a result of terrestrial laser scanning (TLS) sometimes involves georeferencing, i.e. transformation of point cloud data to an external coordinate system. This paper focuses ...