The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This study proposes a multiscale grid method to detect and reconstruct building roofs from airborne LiDAR data. The method interpolates unorganized LiDAR point cloud into two sets of grids with different spatial scales. In the large-scale grid, building seed regions are obtained, including detection of initial building seed regions and refinement of building seed regions. In the small-scale grid,...
Data registration is a prerequisite in the integration of multi-platform LiDAR for various applications. A new approach is proposed for automatic registration of airborne LiDAR data and terrestrial LiDAR data, by synthetically using building boundaries and corners. Building boundaries and corners are firstly extracted from terrestrial and airborne LiDAR data with existing methods; a strategy using...
Electromagnetic radiation fields are ubiquitous in modern society. It is well known that long-term exposure in strong fields can result in bad effects to health due to some unknown mechanism. There are extensive research activities, in this paper, we study the simulation technique for spatial distribution of electromagnetic field in three dimensional construction of modern city which is supported...
A framework to reconstruct 3D building rooftops from LiDAR data is proposed, in which the key contribution is a dynamic triangle — based method for precise rooftop detection. This framework consists of four steps: building point segmentation, coarse building rooftop detection, precise building rooftop determination, and 3D building rooftop reconstruction. The segmented LiDAR points belonging to each...
A new approach to segment building points from raw LiDAR data by the integration of LiDAR data and imagery is proposed. The segmentation of coarse building point from LiDAR data is executed by using the algorithm proposed by Zhang et al. [1]. A new dynamic triangle-based algorithm is presented to obtain the precise building points by the refinement of the coarse building data. This new dynamic triangle-based...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.