Tentative Tests on Two Rapid Multispectral Classifiers for Classifying Point Clouds
| Autor: | Zheng, M., Lemmens, M.J.P.M., van Oosterom, P.J.M., Bregt, Arnold, Sarjakoski, Tapani, Lammeren, Ron van, Rip, Frans |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: | |
| Zdroj: | Proceedings of the 20th AGILE Conference on Geographic Information Science: Societal Geo-innovation Proceedings of the 20th AGILE Conference on Geographic Information Science |
| Popis: | This paper focusses on the feasibility of classifiers, developed for classifying multispectral images, for assigning classes to point clouds of urban scenes. The motivation of our research is that dense point clouds require fast classification methods to extract meaningful information within a reasonable amount of time and multispectral classifiers do have this property. We employ two encoding methods acting on one feature: the altitude above street level. We emphasize computation time and therefore we use just one feature in this prelimina |
| Databáze: | OpenAIRE |
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