Matches in SemOpenAlex for { <https://semopenalex.org/work/W3129046202> ?p ?o ?g. }
Showing items 1 to 67 of
67
with 100 items per page.
- W3129046202 abstract "Automatically generated 3D city models are becoming less of a futuristic, demanding or even impossible to attain goal, and more of a necessary, or vastly sought after, means for a multitude of applications. The current prevalence of open geographic information, such as nationwide-covering LiDAR datasets in the Netherlands, opens up opportunities for different parties to experiment in a search for solutions based on LiDAR data. A current approach in answering this demand for 3D city models is 3dfier, which is an ongoing project to automatically generate, disseminate and maintain a 3D city model based on open source airborne LiDAR datasets as a main source. Trees are currently not included in the 3D city models generated by 3dfier, while trees are an integral part of any city landscape. In this thesis, an implementation is developed that goes through multiple stages of the construction of 3D tree models. First, an initial classification method of the available LiDAR point cloud data is done. This results in a new intermediate point cloud that consists of mostly points belonging to trees. These classified tree points need to be segmented, such that each segment consists of a group of points that represent a single tree. A second classification is constructed after the segmentation, which is called data cleaning. This step ensures that every segment that consists of tree points, is checked for misclassifications and outliers and that these are removed. After cleaning every segment, tree models can be constructed in various LODs and additionally, the types of trees are classified based on identifying features of these trees. The conclusions of this research are that it is possible to construct 3D tree models based on airborne LiDAR point cloud data and that these can be made to fit in an existing 3D city model. This is demonstrated by creating a 3D city tree model for an existing 3D city model and merging them into one dataset. While further work is required to achieve a seamless fit, the integrated results show that the datasets complement each other well." @default.
- W3129046202 created "2021-02-15" @default.
- W3129046202 creator A5089195341 @default.
- W3129046202 date "2020-01-01" @default.
- W3129046202 modified "2023-09-27" @default.
- W3129046202 title "Automatic construction of 3D tree models in multiple levels of detail from airborne LiDAR data" @default.
- W3129046202 hasPublicationYear "2020" @default.
- W3129046202 type Work @default.
- W3129046202 sameAs 3129046202 @default.
- W3129046202 citedByCount "0" @default.
- W3129046202 crossrefType "journal-article" @default.
- W3129046202 hasAuthorship W3129046202A5089195341 @default.
- W3129046202 hasConcept C113174947 @default.
- W3129046202 hasConcept C124101348 @default.
- W3129046202 hasConcept C131979681 @default.
- W3129046202 hasConcept C134306372 @default.
- W3129046202 hasConcept C154945302 @default.
- W3129046202 hasConcept C205649164 @default.
- W3129046202 hasConcept C2524010 @default.
- W3129046202 hasConcept C28719098 @default.
- W3129046202 hasConcept C33923547 @default.
- W3129046202 hasConcept C41008148 @default.
- W3129046202 hasConcept C51399673 @default.
- W3129046202 hasConcept C62649853 @default.
- W3129046202 hasConcept C79337645 @default.
- W3129046202 hasConcept C89600930 @default.
- W3129046202 hasConceptScore W3129046202C113174947 @default.
- W3129046202 hasConceptScore W3129046202C124101348 @default.
- W3129046202 hasConceptScore W3129046202C131979681 @default.
- W3129046202 hasConceptScore W3129046202C134306372 @default.
- W3129046202 hasConceptScore W3129046202C154945302 @default.
- W3129046202 hasConceptScore W3129046202C205649164 @default.
- W3129046202 hasConceptScore W3129046202C2524010 @default.
- W3129046202 hasConceptScore W3129046202C28719098 @default.
- W3129046202 hasConceptScore W3129046202C33923547 @default.
- W3129046202 hasConceptScore W3129046202C41008148 @default.
- W3129046202 hasConceptScore W3129046202C51399673 @default.
- W3129046202 hasConceptScore W3129046202C62649853 @default.
- W3129046202 hasConceptScore W3129046202C79337645 @default.
- W3129046202 hasConceptScore W3129046202C89600930 @default.
- W3129046202 hasLocation W31290462021 @default.
- W3129046202 hasOpenAccess W3129046202 @default.
- W3129046202 hasPrimaryLocation W31290462021 @default.
- W3129046202 hasRelatedWork W2131231713 @default.
- W3129046202 hasRelatedWork W2187352959 @default.
- W3129046202 hasRelatedWork W2188639680 @default.
- W3129046202 hasRelatedWork W2295511148 @default.
- W3129046202 hasRelatedWork W2325980629 @default.
- W3129046202 hasRelatedWork W2485427127 @default.
- W3129046202 hasRelatedWork W2508118648 @default.
- W3129046202 hasRelatedWork W2586324716 @default.
- W3129046202 hasRelatedWork W2766570310 @default.
- W3129046202 hasRelatedWork W2891618005 @default.
- W3129046202 hasRelatedWork W2963755104 @default.
- W3129046202 hasRelatedWork W2973389442 @default.
- W3129046202 hasRelatedWork W2983029129 @default.
- W3129046202 hasRelatedWork W3023299500 @default.
- W3129046202 hasRelatedWork W3047028508 @default.
- W3129046202 hasRelatedWork W3109076587 @default.
- W3129046202 hasRelatedWork W3122797415 @default.
- W3129046202 hasRelatedWork W3132192970 @default.
- W3129046202 hasRelatedWork W774744515 @default.
- W3129046202 hasRelatedWork W951654082 @default.
- W3129046202 isParatext "false" @default.
- W3129046202 isRetracted "false" @default.
- W3129046202 magId "3129046202" @default.
- W3129046202 workType "article" @default.