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As the number of virtual 3D city models is steadily increasing, so are the possible applications that take advantage of them. 3D models can be used for applications that range from simple graphic visu...
3D city modeling has become important over the last decades as these models are being used in different studies including, energy evaluation, visibility analysis, 3D cadastre, urban planning, change d...
Machine learning methods have gained in importance through the latest development of artificial intelligence and computer hardware. Particularly approaches based on deep learning have shown that they ...
The article presents a cartographic generalisation approach for 3D building models with regard to the thematic visualisation of urban landscapes. Based on our earlier work to utilise approximating p...
Human operators use an intuitive procedure of rotating laser scanner point clouds into specific projections when trying to understand the structure of buildings contained in the data. This procedure ...
The central idea is to create a 3D point cloud. After comparison between object-space and image-space techniques, we choose the latter and compute the depths of the pixels in each image using a corr...
The paper reviews the state-of-the-art in 3D city models and building block generation, with a description of the most common solutions and approaches. Then the digital reconstruction and comparison o...
In the field of spatial sciences, there are a large number of disciplines and techniques for capturing data to solve a variety of different tasks and problems for different applications. Examples incl...
Current Internet-inspired mapping data are in the form of street maps, orthophotos, 3D models or street-side images and serve to support mostly search and navigation. Yet the only mapping data that cu...

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