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The road extraction in urban areas is difficult task due to the complicated patterns and many contextual objects. LiDAR data directly provides three dimensional (3D) points with less occlusions and sm...
LIDAR is a powerful remote sensing technology for acquisition of 3D information from terrain surface. Algorithms used for LIDAR data in urban area are used mostly to deal with the 3D points cloud an...
For the significance of road information to the city management, urban roads are subjects of great concern to be extracted from remotely sensed images. With the availability of high spatial resolution...
In recent years, the rapid increase in the demand for road information together with the availability of large volumes of high resolution Earth Observation (EO) images, have drawn remarkable interest ...
In this article a new procedure that was designed to extract road centerline from high resolution satellite images, is presented. The results (road Networks) are fully structured in vector formed in C...
In this article, a new method for road extraction from high resolution Quick Bird and IKONOS pan-sharpened satellite images is presented. The proposed methodology consists of two separate stages of ro...
Roads are important objects for many applications of topographic data. They are often acquired manually and as this entails significant effort, automation is highly desirable. Deficits in the automati...
Roads are important objects for many applications of topographic data. They are often acquired manually and as this entails significant effort, automation is highly desirable. Deficits in the automati...
In this paper we propose an approach for automatic road extraction from high resolution multispectral imagery, such as IKONOS or Quickbird, in rural areas. While aerial imagery usually consists of 3 s...
Recently, the use of linear features for processing remote sensing images has shown its importance in applications. As one of typical linear targets, road is a hot spot of remote sensing image interpr...
The appearance of roads in northern Africa differs from that of roads, e.g., in central Europe, which most of the approaches for automated road extraction in literature focus on. In this paper we pro...
By means of the progress in photogrammetry; it is now possible to produce the maps of huge areas more quickly and economically but the production steps are still expensive and time consuming. In rec...
A semi automatic road extraction method has been constructed and evaluated. Our purpose is to obtain 1/25,000 level road data from PRISM image. PRISM is panchromatic, three views, and the 2.5m resol...
Automated and reliable 3D city model acquisition is an increasing demand. Automatic road extraction from dense urban areas is a challenging issue due to the high complex image scene. From imagery, t...
In this paper, we present work on automatic road extraction from high resolution aerial imagery taken over urban areas. In order to deal with the high complexity of this type of scenes, we integrate ...

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