Extraction of Mountain Feature Line Based on 3D Laser Scanning

Cheng Hui Wan; Xiao Jun Cheng

doi:10.4028/www.scientific.net/AMM.182-183.1821

Paper Titles

Color Image Encryption Scheme Based on Chaotic Map
p.1800

Granularity Entropy-Based SDG Fault Reasoning Method
p.1805

New Hybrid Blind Equalization Algorithms
p.1810

A New Image De-Noising Algorithm Based on Wavelet Transform
p.1816

Extraction of Mountain Feature Line Based on 3D Laser Scanning
p.1821

A Real-Time Sea-Sky-Line Detection Method under Complicated Sea-Sky Background
p.1826

A Image Enhancement Algorithm Combined Wavelet Transform with Image Fusion
p.1832

Color Image Encryption Based on the Multiple-Order Discrete Fractional Cosine Transform and Chaos in YCbCr Space
p.1839

Histogram Equalization Based on Rough Set
p.1844

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 182-183Extraction of Mountain Feature Line Based on 3D...

Extraction of Mountain Feature Line Based on 3D Laser Scanning

Abstract:

This paper applies a Cut-and-Sew algorithm extracting feature line of the mountain based on laser 3D scanning. The mountain is cut at the direction of contour lines. Point cloud data of the cut surface fits curve that project the same plane. Feature points find the curve corresponding to match. Through the connection of feature points, then returning the 3D space to achieve feature line, and the establishment of the formation of the triangular feature line is reconstructed on the mountain.

You might also be interested in these eBooks

Applied Mechanics and Mechatronics Automation

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 182-183)

Pages:

1821-1825

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.182-183.1821

Citation:

Cite this paper

Online since:

June 2012

Authors:

Cheng Hui Wan, Xiao Jun Cheng

Keywords:

Cut-and-Sew Algorithm, Feature Line, Matching Feature Points

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] M. Fang: Studies on Interactive Rendering of Huge 3D Point-Based Models. PhD thesis, Peking University. (2005), p.4.

Google Scholar

[2] Z. Pen, M. Cen and T. Zhang: Building Extraction from LIDAR Data Based on Shape Analysis of Contours. Journal of Southwest JiaoTong University. Vol. 44 No. 1(2009), p.83.

Google Scholar

[3] S. Zhou, Z. LI: DEM Extraction and Its Application Based on Airborne Lidar Data. Remote Sensing Technology and Application., Vol. 22, No. 3(2007), p.356.

Google Scholar

[4] W. Rieger, M. Kerschner and T. Reiter. Roads and Buildings from Laser Scanning Data within a Forest Enterprise.

Google Scholar

[5] P. Tiang: Studying exaction and compression of the point cloud in geographic scene. Nanjing Normal University Master thesis. (2008), p.25.

Google Scholar

[6] X. Cheng, W. Li and X. Zhang: Adaptive Octree-Based Data Compression Method for Point Cloud Data. Henan Science. Vol. 28, No. 10 (2010), p.1300.

Google Scholar

[7] B. Li, Z. Fang and J. Ren: Extraction of Building's Feature from Laser Scanning Data. Journal of Wuhan University. (2003), p.65.

Google Scholar

[8] H. Zhang, M. Hu: The application of Three-dimensional laser scanner in topography measure. Technology Development of Enterprise. Vol. 26 No. 8 (2007), p.16.

Google Scholar

[9] G. Pan: Research on Fitting Line Automatic Extraction Algorithm of 3D Laser Scanning. Journal of Geodesy and Geodynamics. Vol. 29 No. 1 (2009), p.57.

Google Scholar

[10] L. Nan, B. Chen. The latest progress and the idea in the reconstruction of Point cloud data.

Google Scholar

[11] H. Ma, J. Guo: Cut-and-Sew algorithm : a new multi-contour reconstruction algorithm. Journal and Northeastern University(Natural Science). Vol. 28, No. 1 (2007), p.111.

Google Scholar