14 November 2007 Road extraction from high-resolution remote sensing images based on characteristics
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Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67901W (2007) https://doi.org/10.1117/12.749423
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
In this paper, an automated road extraction from high-resolution remote sensing images method based on road synthetical characteristics is presented. First, spectral property, geometric property and textural property of road class have been considered and a road clustering model has been established. Second, mathematical morphology has been applied to extract road centerlines. Experiments prove that the model of this paper could describe the features of road well and accurately identify the road class from high-resolution remote sensing images.
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Jie Yu, Jie Yu, Huiling Qin, Huiling Qin, } "Road extraction from high-resolution remote sensing images based on characteristics", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67901W (14 November 2007); doi: 10.1117/12.749423; https://doi.org/10.1117/12.749423
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