Road extraction from high-resolution remote sensing images based on characteristics

Jie Yu; Huiling Qin

doi:10.1117/12.749423

14 November 2007 Road extraction from high-resolution remote sensing images based on characteristics

Jie Yu, Huiling Qin

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.

Citation Download Citation

Jie Yu and 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); https://doi.org/10.1117/12.749423

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