Color Component–Based Road Feature Extraction from Airborne Lidar and Imaging Data Sets

Author:

Liu Li1,Lim Samsung2

Affiliation:

1. Master, School of Civil and Environmental Engineering, Univ. of New South Wales, Sydney, NSW 2052, Australia (corresponding author).

2. Associate Professor, School of Civil and Environmental Engineering, Univ. of New South Wales, Sydney, NSW 2052, Australia.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Civil and Structural Engineering

Reference46 articles.

1. Akel N. A. Kremeike K. Filin S. Sester M. and Doytsher Y. (2005). “Dense DTM generlization aided by roads extracted from LIDAR data.” International Archives of the photogrammetry remote sensing and spatial information science Vol. 36 (Part 3/W19) ISPRS Conference Publications Enschede the Netherlands 54–59.

2. Automatic road network recognition and extraction for urban planning;Bong D. B. L.;Int. J. Comput., Inf., Syst. Control Eng.,2009

3. A system to detect houses and residential street networks in multispectral satellite images

4. Quantitative evaluation of some edge-preserving noise-smoothing techniques

5. Choi Y. W. Jang Y. W. Lee H. J. and Cho G. S. (2007). “Heuristic road extraction.” Int. Symp. on Information Technology Convergence IEEE Conference Publications New York 338–342.

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