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...

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...

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...

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...

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...

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...

As elicitors of terrestrial system change (e.g., land use transformation) through the introduction of anthropogenic causes, the spatial patterns and levels of roads might be more detrimental to the long-term health of ecosystems at a large scale than the road paving itself. This paper reveals the relationship between soil erosion and roads from a large-scale perspective in Jiangxi Province, Chi...

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...

The control and diagnosis networks in Maglev Train are the most important parts. In the paper, the control and diagnosis network structures are discussed, and the disadvantages of them are described and analyzed. In virtue of role automation decentralized system (RoADS), some basic ideas of RoADS are applied in new network. The structure, component parts and application of new network are propo...