Szczegóły publikacji
Opis bibliograficzny
The use of minimal geometries in automated building generalization / Michał LUPA, Stanisław SZOMBARA, Krystian KOZIOŁ, Michał Chromiak // W: Beyond Databases, Architectures and Structures : facing the challenges of data proliferation and growing variety : 14th international conference, BDAS 2018 held at the 24th IFIP World Computer Congress, WCC 2018 : Poznan, Poland, September 18-20, 2018 : proceedings / eds. Stanisław Kozielski, [et al.]. — Cham : Springer Nature Switzerland, cop. 2018. — (Communications in Computer and Information Science ; ISSN 1865-0929 ; 928). — ISBN: 978-3-319-99986-9; e-ISBN: 978-3-319-99987-6. — S. 390–403. — Bibliogr. s. 401–403, Abstr.
Autorzy (4)
- AGHLupa Michał
- AGHSzombara Stanisław
- AGHKozioł Krystian
- Chromiak Michał
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 117258 |
|---|---|
| Data dodania do BaDAP | 2018-10-19 |
| Tekst źródłowy | URL |
| DOI | 10.1007/978-3-319-99987-6_30 |
| Rok publikacji | 2018 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | Beyond Databases, Architectures and Structures : 14th international conference |
| Czasopismo/seria | Communications in Computer and Information Science |
Abstract
As one of the components of automatic mapping, building generalization is one of the most difficult. The complexity of this process is related to the fact that, in addition to the algorithms used to simplify geometric structure, we must also take into account procedures that maintain the topological relations of the neighborhood. Nevertheless, the choice of the correct simplification method is a crucial task. Therefore, this article presents two new simplification algorithms designed by the authors, Area- and Orientation-Maintained Rectangle (AaOMR) and Topological-Diagonal Maxima (TDM). Two new methods and three commonly used ones, Minimum Bounding Rectangle by Width (RbW), Minimum Bounding Rectangle by Area (RbA), and Building Envelope (E) were compared to each other. The research tests of these algorithms cover comparison of several parameters, shifting the centroid, change in area, minimal width and displacement of vertices. Additionally, the proposed algorithms are attached to this article as ready-to-use GIS toolboxes.