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In order to construct the city three dimensional (3D) building model, building contours must be extracted in fast and accurately. Traditional engineering survey and photogrammetry method is low efficient to do this. The Light Detect and Ranging (LiDAR), so called Airborne Laser Scanning, works on the same principle as radar except using light waves instead of radio waves. It can measure distance and...
The paper proposes a novel method for automatic linear features extraction from raw LiDAR point clouds. Our method bases on the fact that facades of a building in urban area can reflect laser pulses since most of time the scanning angle of the laser scanner does not equal to zero degree. Experimental results show that our algorithm can extract linear features in urban area automatically with high...
Light Detection and Ranging (LiDAR) has become a valuable data source for urban data acquisition. This paper gives an overview about current trends in the automation of object extraction from LiDAR data. These trends are caused by the technical development of LiDAR sensors that enable the acquisition of point clouds at higher resolution as well as the recording of the full waveform of the returned...
Building boundary is of great significance for building reconstruction and digital mapping. The emergence of airborne LIDAR technology makes rapid extraction of buildings possible. Based on the analysis of existing buildings extraction method, the article proposes an automatic method for extracting 3D building boundaries directly from airborne LIDAR points cloud, which consists of three steps: firstly,...
Airborne LiDAR technology draws increasing interest in large-scale 3D urban modeling in recent years. 3D LiDAR data typically has no texture information. To generate photo-realistic 3D models, oblique aerial images are needed for texture mapping, in which the key step is to obtain accurate registration between aerial images and untextured 3D LiDAR data. We present a robust automatic registration approach...
3D building modeling has emerged as a focus of research as well as development for many urban planning and geo-information related applications. To its most abstract form on geometric level, 3D building roofs are regarded as the fundamental elements to present outlines of 3D building models. The emphasis of this study is to demonstrate a novel algorithm of building roof reconstruction, termed CSR...
This paper studies an new approach to creating a variational level set model for buildings detection by combining LiDAR point clouds and Aerial image data. The level set model introduces an object-based image analysis technique. Firstly, a fundamental object-based level set framework is built by neighbor analysis of remote sensing image. Then, several derived products directly or indirectly from LiDAR...
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