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.
In this paper, a method for automatically detecting water regions and classifying water canals containing water in high resolution multispectral satellite images in a rule based manner is proposed. As water canals may be of different lengths and widths, indices employed in the literature and image gradients are used adaptively to classify water regions. The well known spatial properties of water canals...
The aim of this study is to automatically differentiate railroads from roads obtained by a general road extraction algorithm. In high resolution aerial images, the sleepers between railroad tracks depict a distinctive texture from other elongated objects. By employing this additional cue, a new Fourier based feature descriptor is developed to distinguish railroad objects in aerial images. After local...
In this study, an automatic and rule based approach which extracts bridges over water in satellite images is developed. To find the bridges in the image, possible water regions are first found using thresholding and clustering methods. Candidate bridge regions are then extracted by applying morphological operations to the water mask. Also the algorithm proposes an optional verification step that uses...
The aim of this study is to develop an automatic road extraction algorithm for satellite images. In the road network extraction algorithm, edge detection, segmentation analysis, clustering, vegetation analysis is used. Morphological operations are used in post-processing. Quantitative and visually presented results show that the proposed method is effective for main-road extraction.
Previous studies of depth and distance estimation with autostereoscopic 3D displays indicate the users do not necessarily exhibit better depth perception with such displays. Yet, users claim 3D displays provide higher immersiveness. As shapes of objects are often described by their angles, it is expected that angle perception would contribute to object recognition and scene understanding. However;...
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.