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• W2075331531 abstract "Researches on Road Extraction are incessant. Theses researches aims at the automatic identification of remote sensing images. The way to extract roads quickly, accurately and automatically has been a cutting-edge problem in remote sensing related fields, since the availability of high spatial resolution images from new generation commercial sensors. In this paper, we present a novel automatic road extraction approach which uses a Cellular neural Network. The approach makes full use of spectral and geometric properties of roads in the imagery, and proposes a Framework named “CNN- Cellular neural Network”. A primary result shows that the accuracy of this algorithm is very high, fast and can be implemented on hardware chipset." @default.
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• W2075331531 date "2011-11-01" @default.
• W2075331531 modified "2023-09-27" @default.
• W2075331531 title "Road extraction framework by using cellular neural network from remote sensing images" @default.
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• W2075331531 doi "https://doi.org/10.1109/iciip.2011.6108892" @default.
• W2075331531 hasPublicationYear "2011" @default.
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