Study on the method to extract road network based on one-dimensional texture information and an MRF model

Shaoguang Zhou; Hao Li; Ru An

doi:10.1117/12.832888

30 October 2009 Study on the method to extract road network based on one-dimensional texture information and an MRF model

Shaoguang Zhou, Hao Li, Ru An

Author Affiliations +

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74952Y (2009) https://doi.org/10.1117/12.832888
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

A new method is presented to extract road networks in urban area from high-resolution satellite images. The first step is to compare the consistency of gray value in different directions, so that the most consistent direction at every pixel is found. The texture descriptions in this direction consist of the feature vector of segmentation. An improved MRF model combined with the Expectation-Maximization algorithm is then applied to the feature space to separate roads from other objects unsupervisedly. After removing the irregular nonroad speckles in the segmented image, road segments may be detected easily. Connecting road segments finally produces the road networks. Experiments demonstrate that the proposed method may extract networks efficiently.

Citation Download Citation

Shaoguang Zhou, Hao Li, and Ru An "Study on the method to extract road network based on one-dimensional texture information and an MRF model", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74952Y (30 October 2009); https://doi.org/10.1117/12.832888

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