Due to population growth and the increasing number of vehicles on rural roads, traffic accidents have become one most important problems in transportation system, which greatly affects social economic situation people. The main purpose this study was apply analytical method investigate factors affecting severity roads Guilan, Iran, order determine effective factor occurrence these accidents. At...

Foreign body (FB) aspiration is commonly seen in children and less commonly in the elderly. However, due to some social and cultural factors, a distinct group of tracheobronchial FB aspiration is increasingly recognized. We sought to assess our experience with such entity. A retrospective review of all cases with veil pin tracheobronchial FB aspiration in a single center over a 13-year period w...

The extraction of roads from aerial and satellite images is an important task within cartography and planning of new road networks. The automation of this task is highly motivated by the expected increase of the speed and the precision of extraction. This work considers automatic road extraction from single aerial images of high resolution. It is based on two previously developed approaches: Th...

Aerial imagery is an important source for the acquisition and update of GIS data. By using digital imagery it is possible to automate some parts of these tasks. In this context this paper proposes a new approach for the automatic update, i.e., verification and extraction, of roads from aerial imagery. The verification process evaluates road axes from GIS data based on the analysis of profiles t...

Synthesizing and exploring large-scale realistic urban road networks is beneficial to 3D content creation, traffic animation, and urban planning. In this paper, we present an interactive tool that allows untrained users to design roads with complex realistic details and styles. Roads are generated by growing a geometric graph. During a sketching phase, the user specifies the target area and the...

This paper presents a multi-resolution approach for automatic extraction of roads from digital aerial imagery. Roads are modeled as a network of intersections and links between the intersections. of the image into context regions is done by texture analysis. The approach to detect roads is based on the extraction of edges in a high resolution image and the extraction of lines in an image of red...

Road information as a type of basic geographic information is very important for services such as city planning and traffic navigation, as such there is an urgent need for updating road information in a timely manner. Scholars have proposed various methods of extracting roads from remote sensing images, but most of them are not applicable to rural roads with diverse materials, large curvature c...

Unpaved roads are one of the most relevant causes of erosion process in rural regions. Locating unpaved roads in low-resolution satellite images is not a trivial task. Although they have the spectral response of bare soil, their spatial width is often far below the pixel size. Therefore, the pixels crossed by unpaved roads have a different spectral response over the scene depending on the surro...

Extracting roads from aerial imagery is important for the update of Geographic Information Systems (GIS), e.g., to capture new roads or to improve the geometric accuracy of existing roads. It can be broken down into two phases: First, old data is verified to determine which parts of the data have changed. Then, newly built roads are added. In this paper a two-phase approach consisting of automa...