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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 ...
Over the last 20 years the demand for three dimensional (3D) building models has resulted in a vast amount of research being conducted in attempts to automate the extraction and reconstruction of mode...
This paper compares two generic approaches for the reconstruction of buildings. Synthesized and real oblique and vertical aerial imagery is transformed on the one hand into a dense photogrammetric 3D ...
Three dimensional models of urban areas play an important role in city planning, disaster management, city navigation and other applications. Reconstruction of 3D building models is still a challengin...
We present a building reconstruction approach, which is based on a target graph matching algorithm to relate laser data with building models. Establishing this relation is important for adding build...
Nowadays, with the development of the urban areas, the automatic reconstruction of the buildings, as an important objects of the city complex structures, became a challenging topic in computer vision ...
A novel approach of Model-based Building Reconstruction (MBBR) from topographic maps and LiDAR data called Floating Models is proposed in this paper. Floating models are a series of pre-defined primit...
3D models of buildings are useful for many applications such as urban planning and environmental simulation, cartography, tourism and mobile navigation. Automatically generating building models in the...
Automatic building reconstruction from LIDAR data has become a hot topic for several years. Many methods and algorithms have been put forward to reconstruct the building models, such as of flat roof, ...
The automatic reconstruction of roofs and buildings has been an important research topic during the last years. This paper elaborates on the automatic and semi-automatic reconstruction of roofs from a...
Since the traditional building extraction from the common optical images is highly labor-intensive, time-consuming and very expensive. With the wide use of LIDAR System, it is possible to acquire buil...
We present a 3D building reconstruction method from satellite images based on a stochastic approach. It consists in reconstructing buildings by assembling simple urban structures extracted from a libr...
The improved ground resolution of state-of-the-art synthetic aperture radar (SAR) sensors suggests utilizing SAR data for the analysis of urban scenes. In high resolution SAR data of built-up areas, e...
Reconstructing buildings in 3D has been a challenging research topic for at least ten years, and will be in future as long as acquisition systems are improving and model requirements are increasing. D...
Building reconstruction is one of the most difficult and important 3D modelling problems for urban environment. In this paper, we develop an approach using minimum number of basic geometric elements t...

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