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.
Building reconstruction from aerial image data has been studied in this paper. 3D line segments generated by using stereo image analysis are usually fragmented, and it is very hard to reconstruct building rooftop from segmented 3D lines. Centroid neural network algorithm is employed to classify 3D lines into groups of lines. With this grouping technology, the grouped 3D lines are easily clustered...
This paper presents a new method for the site modeling from aerial image data. Initially 3D lines are extracted by using elevation data obtained by area-based stereo. The grouping process is implemented by using centroid neural network algorithm to classify 3D lines into groups of lines. Using grouped 3D lines, hypothesis selection is carried out based on undirected graph, in which close cycles represent...
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.