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Data representation for smooth level of detail of spatial objects
Feber, Lukáš ; Brůha, Lukáš (advisor) ; Bayer, Tomáš (referee)
The thesis deals with the concept of level of detail and its use in 3D GIS. The aim of this work is to design a data structure that will allow continuous rendering of discrete 3D building models with different levels of geometric detail, which were created by generalization method based on mathematical morphology approach. The proposed solution creates links of corresponding geometric primitives of models at different level of detail at first and then reconstructs them using the extrusion method. The data structure created in this way is able to generate and render any model, including intermediate models, which are represented as slices through the data structure across the axis of geometric detail.
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Automated recognition of selected terrain features from their cartographic representation
Sykora, Matúš ; Bayer, Tomáš (advisor) ; Brodský, Lukáš (referee)
Automated recognition of selected terrain features from their cartographic representation. This diploma thesis is dedicated to automatic classification of selected terrain shapes and their cartographic representation. The main aim of this thesis is to design methodological approach for automatic recognition of terrain shapes (hills and valleys) with the use of Machine Learning (Deep Learning). The first part of suggested method divides rough terrain segmentation into two categories, which will be then classified with convolutional neural network. The second part of the thesis is dedicated to the very classification of pre-segmented terrain shapes using Machine Learning. Both parts of the processing are using photos SRTM30 as an input data. The whole proposed method was developed in Python programming language with the usage of Arcpy, TensorFlow and Keras libraries. Keywords: Digital cartography, GIS, terrain shapes, Machine Learning, Deep Learning, recognition, classification, segmentation
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Analysis of the celestial maps
Považan, Juraj ; Bayer, Tomáš (advisor) ; Čábelka, Miroslav (referee)
Analysis of the spheric map Abstract The master thesis deals with cartometric analysis of maps of the celestial sphere using image correlation. The main goal of this work was to design an algorithm for the identification of stars on old maps of the starry sky using a normalized cross-correlation and the application of a median and Gaussian filter. The analysis itself takes place on small scale maps or. the whole visible sky divided into two hemispheres, shown in a stereographic projection and also takes into account the influence of the cartographic map display on the position of objects, which it tries to eliminate by Helmert transformation, and also the influence of precession, which affects the position of astronomical objects over time. The accuracy of the drawing of the positions of the objects is evaluated by means of isolines drawn on the basis of positional coordinates. The algorithm was implemented in the Matlab programming environment and old maps from the Mapová sbírka PřF and the 5th edition of Bright Star Cataloque were used as test data, which contains the positions of stars with precisely determined coordinates. The achieved results are presented in the form of images of captured objects and created isolines over old maps as well as tables of the three nearest neighbors of the most important...
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Simplification of rivers based on the spatial reduction method
Mazur, Dominik ; Bayer, Tomáš (advisor) ; Brůha, Lukáš (referee)
This master thesis is focused on cartography generalization of a rivers using collapse and partial collapse method with the usage of straight skeleton data structure. The proposed method was designed for large scale maps in geographical view and for medium scale maps in cartographic view (till 1 : 100 000). The thesis is focusing on width of a river as stand alone criteria for generalization decision. The presented solution represents set of a criteria which decides on generalization of a river. The presented thesis also solves problematic situations that exist on a river such as islands, junctions, shoulders or bifurcation. The thesis also includes proposed generalization algorithm which is using straight skeleton data structure. The algorithm is implemented in C++ programming language in Microsoft Visual Studio IDE. The algorithm uses external libraries Qt and CGAL (Computational Geometry Algorithms Library) for functioning. Algorithm results are saved in ESRI geodatabase with the usage of Python 2.7 programming language and external library ArcPy. Water areas from ZABAGED were chosen as appropriate data for testing. Achieved results of generalization are presented on test data for various scales and they are compared with base maps of Czech Republic. Keywords: digital cartography, cartography...
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Classification of built-up areas for cartographic generalization of state map series
Matyáš, Michal ; Lysák, Jakub (advisor) ; Bayer, Tomáš (referee)
This diploma thesis deals with the topic of automatic classification of buildings. The main goal of this diploma thesis was to design an algorithm for the identification of building types for the purposes of cartographic generalization. For the purposes of this diploma thesis, a total of six types of development were defined with respect to different generalization of individual types on ZM 50. The first part of the proposed method is represented by an algorithm for segmenting buildings into clusters based on the use of already generalized road network and DBSCAN algorithm. The partial goal of this diploma thesis was to compare classifiers from the field of machine learning and neural networks and at the same time to compare classifiers using descriptive characteristics with classifiers using visual assessment. The resulting classifications were evaluated using data from a manually selected training set and using an algorithm comparing the resulting type of development with the type of cartographic representation used to represent the development on ZM 50. The whole method was implemented in Python using Arcpy, Scikit-learn and Tensorflow libraries. Testing took place on elements from the ZABAGED and Data50 databases. Keywords: Generalization of built-up areas, Classification, Machine learning,...
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Analysis of Criginger's maps from Map Collection of Charles University
Popp, Marek ; Čábelka, Miroslav (advisor) ; Bayer, Tomáš (referee)
Analysis of Criginger's maps from Map Collection of Charles University Abstract This bachelor's thesis concerns itself with Criginger's map of Bohemia from 1568. Main objective of this thesis are content analysis and a cartometric analysis of derivates of Criginger's map from the Map Collection of Charles University made by Flemish cartographes Abraham Ortelius, Gerard de Jode and Gerard Mercator and the reproduction of the original map made by Karel Kuchař. Analysis consists of the description of map contents, treatment of map key, analysis of map scale and general cartometric analysis. MapAnalyst software has been used for the indentical spots visualisation. In addition, thesis compares descriptions of settlement on examined maps. Key words: Criginger, old maps, map analysis, Map collection of Faculty of Science
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Terrain break-lines detection based on Sky View Factor
Englmaierová, Tereza ; Brůha, Lukáš (advisor) ; Bayer, Tomáš (referee)
Terrain Breakline Detection Using Sky-view factor Abstract The subject of this diploma thesis is to propose the procedure of detecting of terrain breaklines using Sky-view factor. The theoretical part of the diploma thesis first introduces the issue of terrain breaklines detection, which presents the methods known to date and Sky- view factor, which is the focal point of the proposed method. Implementation over real data takes place at four locations in the Czechia (Vítkovice, Hradiště, Strnady and Velenka). Data in the form of raster format is tested. At the end, the results of the proposed method and its verification using two selected methods of field edge detection are presented and evaluated. Achieved results point to Sky-view factor for terrain edge detection. Keywords: terrain breakline, digital terrain model, Sky-view factor, detection terrain breaklines methods
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Simplification of buildings based on typification
Gottstein, Otomar ; Bayer, Tomáš (advisor) ; Jindrák, Přemysl (referee)
Simplification of buildings based on typification Abstract The diploma thesis is focused on cartographic generalization. Its main aim was to develop a new method of simplification of buildings based on typification for areas with lower density of buildings (rural or mountain areas). The proposed method was designed for large scale maps (1 : 25 000 and 1 : 50 000). The presented generalization algorithm is based on preferential selection of buildings to be drawn on the map according to their civic importance, area and location towards roads, railways and streams. It respects cartographic rules used for this type of generalization. The algorithm was implemented in the Python programming language using the Shapely and Fiona libraries for a purpose of its proper testing. The ZABAGED and DATA50 data were chosen as suitable test data. Among other things, this thesis also introduces the evaluation method of typification results, which uses Voronoi diagram. Achieved results are presented on maps of fifteen villages with different spatial structure in both targeted scales. Keywords: digital cartography, generalization, typification, building, simplification
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Automation of "contour method" for cliff drawing
Lněničková, Petra ; Lysák, Jakub (advisor) ; Bayer, Tomáš (referee)
Automation of "contour method" for cliff drawing Abstract This thesis deals with the design of automated creation of cartographic representation of rocks - specifically contour methods. Based on the study of the rules of this method and its use on analog maps, rules for its processing in digital cartography were designed and an algorithm for automated creation of this representation was designed and implemented. The algorithm is based on the design of the contour method described in the study Topographic mapping of rock formations with the use of airborne laser scanning data by J. Lysák (2016) and the output data of the study Sandstone landscapes in GIS by M. Tomková (2015). The algorithm was implemented in the form of Python scripts using the arcpy library. The thesis also includes testing the algorithm on data from sandstone areas in the Czech Republic. key words: rocks formations, visualization of hypsography , digital cartography, contour method
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The creation of the Historical atlas of the Battle of Königgrätz
Mach, Dominik ; Čábelka, Miroslav (advisor) ; Bayer, Tomáš (referee)
The goal of this thesis is to create a historical atlas of the Battle of Königgrätz. The theoretical part describes rules, concepts and methods of the thematic cartography, followed by a research of printed historical atlases, which served as an inspiration for the author. The last section of the theoretical part deals with the introduction to the Battle of Königgrätz itself. In the practical part, an appropriate methodological creation process is proposed based on the acquired knowledge. The key part of the process is working with historical maps from the Map Collection of the Faculty of Science of Charles University as well as with historical literature. The outcome of the thesis is the aforementioned historical atlas of the Battle of Königgrätz, which shows the spatial distribution of armies during the battle using chronologically ordered maps and provides basic information regarding the causes, course, consequences and key moments of the conflict. Keywords: historical atlas, battle map, tematic cartography, battle of Königgrätz, ArcGIS
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