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In order to provide users with the function of navigating across different details of level, ranging from overview screen to detailed views, it is necessary to display these representations with diffe...
This paper presents an automatic methodology for spatial road network extraction from multi spectral remote sensing images with floating car data. Basically, it can be divided into two steps. In the f...
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...
Bayesian methods coupled with Markovian frameworks has several applications in remote sensing images processing, such as the pixel level applications like filtering, segmentation and classification, a...
In order to estimate proper current land price, various factors such as environment, communication, regulation of land use and so on are established by local government. Road slope is one of the land ...
or quickly populating GIS database, it is important to derive accurate and truly road information from imagery. In this paper, we describe the problem of urban road extraction from digital imagery u...
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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