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Proceedings Paper

Road extraction from high-resolution remote sensing images based on characteristics
Author(s): Jie Yu; Huiling Qin
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Paper 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.

Paper Details

Date Published: 14 November 2007
PDF: 7 pages
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
Show Author Affiliations
Jie Yu, Wuhan Univ. (China)
Huiling Qin, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications

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