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Development of a Dike Line Selection Method Using Multispectral Orthoimages and Topographic LiDAR Data Taken in the Nakdong River Basins
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 Title & Authors
Development of a Dike Line Selection Method Using Multispectral Orthoimages and Topographic LiDAR Data Taken in the Nakdong River Basins
Choung, Yun Jae;
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 Abstract
Dike lines are important features for describing the detailed shapes of dikes and for detecting topographic changes on dike surfaces. Historically, dike lines have been generated using only the LiDAR data. This paper proposes a new methodology for selecting an appropriate dike line on various dike surfaces using the topographic LiDAR data and multispectral orthoimages taken in the Nakdong River basins. The fi rst baselines were generated from the given LiDAR data using the modified convex hull algorithm and smoothing spline function, and the second baselines were generated from the given orthoimages by the Canny operator. Next, one baseline was selected among the two baselines at 10m intervals by comparing their elevations, and the selected baseline at 10m interval was defined as the dike line segment. Finally, the selected dike line segments were connected to construct the 3D dike lines. The statistical results show that the dike lines generated using both the LiDAR data and multispectral orthoimages had the improved horizontal and vertical accuracies than the dike lines generated only using the LiDAR data on the various dike surfaces.
 Keywords
Dike Lines;LiDAR;Multispectral Orthoimages;Canny Operator;
 Language
English
 Cited by
 References
1.
Briese, C. (2004), Three-dimensional modelling of breaklines from airborne laser scanner data, Proceedings of the 10th ISPRS Congress, ISPRS, 12-23 July, Istanbul, Turkey, unpaginated CD-ROM.

2.
Brügelmann, R. (2000), Automatic breakline detection from airborne laser range data, International Archives of Photogrammetry and Remote Sensing, 16-22 July, Amsterdam, The Netherlands, Vol. 33, No. B3, pp. 109-115.

3.
Brzank, A., Heike, C., Goepfert, J., and Woergel, U. (2008), Aspects of generating precise digital terrain models in the Wadden Sea from lidar water classification and structure line extraction, ISPRS Journal of Photogrammetry & Remote Sensing, Vol. 63, No. 5, pp. 510-528. crossref(new window)

4.
Choung, Y. (2014a), Mapping levees using LiDAR data and multispectral orthoimages in the Nakdong River basins, South Korea, Remote Sensing, Vol. 6, No. 9, pp. 8696-8717. crossref(new window)

5.
Choung, Y. (2014b), Accuracy assessment of the levee lines generated using lidar data acquired in the Nakdong River basins, South Korea, Remote Sensing Letters, Vol. 5, No. 10, pp. 853-861. crossref(new window)

6.
Choung, Y., Li, R., and Jo, M. (2013), Development of a vector-based method for coastal bluffline mapping using LiDAR data and a comparison study in the area of Lake Erie, Marine Geodesy, Vol. 36, No. 3, pp. 285-302. crossref(new window)

7.
FEMA (2015), FEMA levee resources library, FEMA, http://www.fema.gov/living-levees-its-shared-responsibility/fema-levee-resources-library (last date accessed: 5 May 2015).

8.
Gonzalez, R. and Woods, R. (2007), Digital Image Processing (3rd Edition), Prentice Hall, Upper Saddle River, NJ, USA.

9.
Horing, N. (2015), Global land vegetation, Old Dominion University, http://www.ccpo.odu.edu/~lizsmith/SEES/veget/vg_class.htm (last date accessed: 11 March 2015).

10.
Intergraph (2015), Digital mapping camera system, Intergraph, http://www.geospace.co.za/pdf/DMC%20Brochure.pdf (last date accessed: 11 March 2015).

11.
Jensen, J.R. (2006), Remote Sensing of the Environment: An Earth Resource Perspective(2nd Edition), Prentice Hall, Upper Saddle River, NJ, USA.

12.
Kim, K., Im, D., and Yeo, H. (2004), Inspection of the river basin for management of their natures, Journal of , Vol. 37, No. 4, pp.109-118. (in Korean with English abstract)

13.
Lee, J.S. (2010), River Engineering and Design, Saeron Books, Seoul, Korea.

14.
Liu, J., Li, R., Deshpande, S., Niu, X., and Shih, T. (2009), Estimation of blufflines using topographic LiDAR data and orthoimages, Photogrammetric Engineering and Remote Sensing, Vol. 75, No. 1, pp. 69-79.