Algorithm for automated building simplification using aggregation Abstract Diploma thesis deals with automated cartographic generalization. The main aim is to propose a new generalization algorithm for building aggregation. The first part brings summary of existing algorithms for building aggre- gation. Then the new algorithm is presented: at first, auxiliary data structu- res and algorithms are presented, then cartographic and geometric require- ments are defined. New algorithm is based on the principle of straight skeleton construction. Outer vertices are removed from constructed straight skeletons and those structures are aggregated. The aggregated polygon is reconstructed from ag- gregated structures. The second part is focused on implementation and results evaluation. The algorithm is implemented using open-source libraries CGAL, Boost and Shapelib. The results and confrontation with SW ArcGIS are discus- sed in conclusion of the thesis. 1
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:310434 |
| Date | January 2012 |
| Creators | Svobodová, Jana |
| Contributors | Bayer, Tomáš, Lysák, Jakub |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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