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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...
The spatial resolution of available image data plays an important role at the creation of object models for road extraction. The type and perceptibility of roads changes with increasing ground pixel s...
Automated road tracking is important for map revision but is currently not reliable enough to be useful for industrial applications.Consequently semi-automatic road tracking has become the preferred s...
A new road classification technique from LIght Detection And Ranging (LIDAR) data is presented that relies on region growing in order to classify areas as road. The new method corrects some of the pro...
Depending on the spatial resolution, the appearance of roads differs in images. In high resolution aerial images aroad might be distinguishable as an area with visible road markings, while in a satell...
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...
With the rapid development of 3D GIS, especially Computer Graphics ✄ Simulation and Virtual Reality, 3D GIS is applied in many fields (Li Deren, 2000). On the base of study the road elements an...
In the recent years, the automated extraction of roads from digital images has drawn considerable attention due to the need for the efficient acquisition and updating of road data for geodatabases. Th...
The updating of road network databases is crucial to many Geographic Information System (GIS) applications such as navigation, urban planning, etc. This paper presents a comprehensive framework for im...
In this article, the possibility of using artificial neural networks for road detection from high resolution satellite images is tested on a part of RGB Ikonos and Quick-Bird images from Kish Island...
This article presents an automatic methodology for extraction of road segments from high-resolution aerial images. The method is based on a set of four road objects and another set of connection rule...
Lately, digital photogrammetry based on the principles of photographic survey has been more and more applied to various hightech industries and becomes one of more interesting focuses of study than ev...
SPATIO-TEMPORAL METHODS TO REDUCE DATA UNCERTAINTY IN RESTRICTED MOVEMENT ON A ROAD NETWORK.
EVALUATION OF AUTOMATIC ROAD EXTRACTION RESULTS FROM SAR IMAGERY.
QUALITY CONTROL AND UPDATING OF ROAD DATA BY GIS-DRIVEN ROAD EXTRACTION FROM IMAGERY.

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