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- W4285191910 abstract "Road networks extracted from very high-resolution (VHR) satellite imagery can be used for updating the geographic information system (GIS) database in real-time. In this work, an automatic road extraction method from VHR images is presented. The proposed method uses the fast fuzzy c-means (FFCM) segmentation and the shape feature analysis for road delineation from VHR imagery. In the first step, the spectral noise from VHR images is eliminated by using median filtering. In the second step, the road network is segmented from non-road components by the FFCM segmentation method. Finally, the segmented road network’s accuracy is further boosted by eradicating non-road parts from the segmented road network. The experiments are performed on different types of VHR images to delineate road networks by the proposed approach. The proposed method’s accuracy is assessed on multiple statistical parameters demonstrating the proposed method’s high precision." @default.
- W4285191910 created "2022-07-14" @default.
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- W4285191910 date "2022-01-01" @default.
- W4285191910 modified "2023-09-23" @default.
- W4285191910 title "Automatic Road Network Extraction from High-Resolution Images using Fast Fuzzy C-Means" @default.
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- W4285191910 doi "https://doi.org/10.1007/978-981-19-0475-2_12" @default.
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