A wavelet transform based method for road centerline extraction

被引:14
|
作者
Chen, TL
Wang, JF
Zhang, KZ
机构
[1] Univ S Carolina, Dept Math Sci, Aiken, SC 29801 USA
[2] Univ Western Ontario, Dept Geog, London, ON N6A 5B8, Canada
[3] Univ Western Ontario, Dept Comp Sci, London, ON N6A 5B8, Canada
来源
关键词
D O I
10.14358/PERS.70.12.1423
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
This paper introduces a new wavelet transform based method of road centerline extraction from high resolution remote sensing images. In the one dimensional case, we characterize different kinds of sudden changes of signals by comparing the magnitudes of the local extreme values of the wavelet transforms under different dilation scales of the some wavelet. The Platform-like signals, which come from cross sections of roads, con be characterized through the evolution of the wavelet transform across scales. A two-dimensional wavelet transform of an image consists of two components, each component is a one dimensional wavelet transform in one coordinate direction followed by a smoothing process in the perpendicular direction. The road edges can be characterized through the evolution of the two-dimensional wavelet transform across different scales. Edges of the main roads can then be extracted using these characterizations, and the road centerlines con be obtained by proper post-processing.
引用
收藏
页码:1423 / 1431
页数:9
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