No full-text available
To read the full-text of this research,
you can request a copy directly from the authors.
Automatic Building Extraction Using LIDAR and Aerial Image
Abstract
Building information is primary source in many applications such as mapping, telecommunication, car navigation and virtual city modeling. While aerial CCD images which are captured by passive sensor(digital camera) provide horizontal positioning in high accuracy, it is far difficult to process them in automatic fashion due to their inherent properties such as perspective projection and occlusion. On the other hand, LIDAR system offers 3D information about each surface rapidly and accurately in the form of irregularly distributed point clouds. Contrary to the optical images, it is much difficult to obtain semantic information such as building boundary and object segmentation. Photogrammetry and LIDAR have their own major advantages and drawbacks for reconstructing earth surfaces. The purpose of this investigation is to automatically obtain spatial information of 3D buildings by fusing LIDAR data with aerial CCD image. The experimental results show that most of the complex buildings are efficiently extracted by the proposed method and signalize that fusing LIDAR data and aerial CCD image improves feasibility of the automatic detection and extraction of buildings in automatic fashion.
... By adopting LiDAR, not only simple building model but also minute structures in rooftop can be modeled, precision and automation of 3D surface model is improved dramatically. By this reason large amount of 3D city model can be produced effectively(Jeong et al., 2005).Generating DEM from contour lines is still one of the major methods to get grid DEM because of its low cost and the convenience to get contour maps. One of the most important parts of DEM building is interpolation. ...
A LiDAR technique has the merits that survey engineers can get a large number of measurements with high precision quickly. Aerial photos and satellite sensor images are used for generating 3D spatial images which are matched with the map coordinates and elevation data from digital topographic files. Also, those images are used for matching with 3D spatial image contents through perspective view condition composed along to the designated roads until arrival the corresponding location. Recently, 3D aviation image could be generated by various digital data. The advanced geographical methods for guidance of the destination road are experimented under the GIS environments. More information and access designated are guided by the multimedia contents on internet or from the public tour information desk using the simulation images. The height data based on LiDAR is transformed into DEM, and the real time unification of the vector via digital image mapping and raster via extract evaluation are transformed to trace the generated model of 3-dimensional downtown building along to the long distance for 3D tract model generation.
... By adopting LiDAR, not only simple building model but also minute structures in rooftop can be modeled, precision and automation of 3D surface model is improved dramatically. By this reason large amount of 3D city model can be produced effectively [9]. ...
3D geospatial information is information which presents the real world, and contributes to quantitative analysis and decision making support of construction, forestry, disaster management etc. using integrated orthophoto, DEM, attribute data, 3D modeling and visualizing information. Multi-looking Aerial photogrammetric method, which is more efficient than traditional one, can save the expenditure of public sector and increase their efficiency, and can be applied to diverse applications of private sector. It is expected to be a one of the valuable national projects in time.
ResearchGate has not been able to resolve any references for this publication.