Road Extraction Using Stationary Wavelet Transform
Commenced in January 2007
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Road Extraction Using Stationary Wavelet Transform

Authors: Somkait Udomhunsakul

Abstract:

In this paper, a novel road extraction method using Stationary Wavelet Transform is proposed. To detect road features from color aerial satellite imagery, Mexican hat Wavelet filters are used by applying the Stationary Wavelet Transform in a multiresolution, multi-scale, sense and forming the products of Wavelet coefficients at a different scales to locate and identify road features at a few scales. In addition, the shifting of road features locations is considered through multiple scales for robust road extraction in the asymmetry road feature profiles. From the experimental results, the proposed method leads to a useful technique to form the basis of road feature extraction. Also, the method is general and can be applied to other features in imagery.

Keywords: Road extraction, Multiresolution, Stationary Wavelet Transform, Multi-scale analysis

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1086659

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References:


[1] B. Sirmacek and C. Unsalan, “Road Network Extractions using Edge Detection and Spatial Voting,” in Conf. Rec. 2010 Int. Conf. on Pattern Recognition, pp. 3113–3117.
[2] J. Yuan and D. Wang, “LEGION-Based Automatic Road Extraction From Satellite Imagery,” IEEE Trans. on Geoscience and Remote Sensing, vol. 49, pp.4528–4538, November 2011.
[3] W. Xia, Y. Yang, T. Hongmet and L. Yuan, “Study on Road Extraction Method in Remote Sensing Image,” in Conf. Rec. 2012 Int. Conf. on Industrial Control and Electronics Engineering, pp. 1578–1580
[4] M. A. Fischler, J. M. Tenenbaum, and H. C. Wolf, “Detection of roads and linear structures in low- resolution aerial imagery using a multisource knowledge integration technique,” Computer Graphics and Image Processing, vol. 15(3), p p . 201-223, 1981.
[5] R. Nevatia and K. R. Babu, “Linear feature extraction and description,” Computer Graphics and Image Processing, Vol. 13, pp. 257-269, 1980.
[6] C. Seger, “Extraction of Curved Lines from Images,” Proceedings of ICPR’ 96, pp. 251-255, 1996.
[7] Y. Lee and S. Kozaitis, “Multi-resolution gradient based edge detection in noisy image using wavelet domain filters,” Optical Engineering, vol. 39(9), p