Region growing based road extraction in SAR images

Yuan Guo; Zhengyao Bai; Yue Li; Yang Liu

doi:10.1117/12.749637

15 November 2007 Region growing based road extraction in SAR images

Yuan Guo, Zhengyao Bai, Yue Li, Yang Liu

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67862E (2007) https://doi.org/10.1117/12.749637
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

A new region growing based algorithm for extracting roads in spaceborne synthetic aperture radar (SAR) images is presented in this paper. The basic idea is that an initial seed point moves in a determined direction with a certain step length. The algorithm is composed of five sequential steps: the first is to search initial seed point and the second is to choose a circular window size similar to the width of the first road. In the third step, the criteria for region growing are chosen, and the fourth is to determine the key elements of new roads growing. At last, stopping rules are specified. The experimental results show that the proposed method can better extracted roads in SAR images.

Citation Download Citation

Yuan Guo, Zhengyao Bai, Yue Li, and Yang Liu "Region growing based road extraction in SAR images", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67862E (15 November 2007); https://doi.org/10.1117/12.749637

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