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An Integrated Method for Road Network Centerline Detection from Multispectral Imagery
2016Automatic road network detection from multispectral imagery is an effective and economic way to obtain the road and related information. This paper presents an integrated method to extract road network centerline from multispectral imagery. It includes four main steps.
Yuefan Du, Jie Li, Ying Wang
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Iterative and Localized Radon Transform for Road Centerline Detection from Classified Imagery
2007An iterative and localized Radon transform is proposed in this paper for the specific application of road network extraction from high resolution satellite imagery. Based on an accurate estimation of the line width and line parameters in the radon space, the localized Radon transform makes it possible to detect the small road segments and the long ...
Isabelle Couloigner, Qiaoping Zhang
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A Gram-Schmidt Transformation-based Hierarchical Urban Road Centerline Extraction Method
2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall), 2021Lipeng Gao +4 more
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Using neighborhood centroid voting to extract road centerline from classifred image
Journal of Image and Graphics, 2015Lei Ding +3 more
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CenterLineFormer: Road Centerlines Graph Generation with Single Onboard Camera
Journal of Shanghai Jiaotong University (Science)Minghui Qin +4 more
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Multi-Scale and Multi-Task Deep Learning Framework for Automatic Road Extraction
IEEE Transactions on Geoscience and Remote Sensing, 2019Xiaoyan Lu, Yanfei Zhong, Zhuo Zheng
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