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Based on the high-resolution image data in urban areas, the paper investigate the key technologies in building detection and reconstruction, particularly focused on the Building Model Driving (BMD) al...
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 development of LIDAR (Light Detection and Ranging) system makes the acquisition of 3D surface information more convenient and immediate than other geomatics technologies. However, the 3D coordinat...
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...
Recovering the three-dimensional (3D) object shape lies as an unresolved and active research topic on the cross-section of computer vision, photogrammetry and bioinformatics. Although various techniqu...
This work aims at extracting 2D buildings from a single high-resolution satellite image in densely built-up urban areas. The whole algorithm follows the hypothesis-verification strategy.
A method for automatic updating of building data bases from Digital Surface Models (DSM) and a normalised difference vegetation index is evaluated. The DSM can be generated from Airborne Laserscanner ...
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...
Building extraction and delineation is one of the most salient problems in cartographic features extraction. This paper presents a novel framework for reliable and accurate building extraction from hi...
This paper describes an efficient method for detecting and modeling roof superstructures (detailed volumes present on roofs such as chimneys, dormer windows...) using only a Digital Elevation Ma...
Texture models are potentially very useful for automated urban data revision. We propose a ‘model-based change detection algorithm’ using three-dimensional urban data. In this algorithm, temporal imag...
Model-free image segmentation approaches for automatic building detection, usually fail to detect accurately building boundaries dueto shadows, occlusions and other low level misleading information. I...
This is a cooperative work between the Chair of Photogrammetry and Remote Sensing of ETH Zurich and the Research department of Ordnance Survey, called “Quality Assessment of 3D Building Data”. The pro...

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