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Simplification of contour lines in flat areas
Čelonk, Marek ; Bayer, Tomáš (advisor) ; Kolingerová, Ivana (referee)
Simplification of contour lines in flat areas The diploma thesis is focused on the cartographic generalization of contour lines derived from dense point clouds in flat territories, where the original contour lines tend to oscillate. The main aim is to propose, develop and test a new algorithm for the contour simplification preserving the given vertical error and reflecting the cartographic rules. Three methods designed for large scale maps (1 : 10 000 and larger) are presented: the weighted average, modified Douglas-Peucker and potential-based approach. The most promising method is based on the repeated simplification of contour line segments by calculating the generalization potential of its vertices. The algorithm is implemented in Python 2.7 with the use of Arcpy library was tested on DMR5G data, the simplified contour lines were compared with the result created by a professional cartographer. Achieved results are presented on attached topographic maps. Keywords: contours, cartographic generalization, digital cartography, vertical buffer, smoothing, GIS
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Possibily GIS methods for documentation of paleontological relics
Čelonk, Marek ; Štefanová, Eva (advisor) ; Potůčková, Markéta (referee)
Possibily GIS methods for documentation of paleontological relics Abstract The bachelor thesis is focused on use of geoinformatic methods for creation of 3D model. The thesis is produced in cooperation with the Chlupáč's Museum of Earth History, which lent a paleontological artifact for processing. The theoretical part deals with laser scanning and close-range photogrammetry. Both methods are used in the practical part for own data colection and subsequent creation of 3D model. Data processing was mostly done in Trimble RealWorks, MeshLab and Agisoft PhotoScan. Another output is the HTML page that allows visualization in the Internet environment. key words 3D model, laser scanning, close-range photogrammetry, point cloud
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