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Road databases are essential instances of urban infrastructure. Therefore, automatic road detection from sensor data has been an important research activity during many decades. Given aerial images in...
The 3D geometry of an object can be captured very efficiently using a terrestrial laser scanner. By modelling and visualisation of these 3D data, it is possible to obtain vectorized geometric informa...
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 the last twenty-five years a great number of vectorization methods were developed. In this paper we first give an overview about the most known methods, and then propose a vectorization algorithm b...
The growing fields of GIS application (local administration, tourism, archaeology, geology, ...) has increased the interest in studying the information sharing from different geographic databases, als...
A novel approach to semi-automated road centerline extraction from remotely sensed imagery is introduced. Providing inspiration is Kohonen’s self-organizing map (SOM) algorithm. With IFOV < 2m, road f...
Vectorization of cartographic features is a difficult task in geographic information acquisition from topographic maps. This paper presents a semi-automatic approach to linear feature vectorization ...

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