Volume XLII-2/W7
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 881-885, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-881-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 881-885, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-881-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  13 Sep 2017

13 Sep 2017

DIGITAL ELEVATION MODEL INTERPOLATION BY FUSION OF MORPHOLOGICAL RECONSTRUCTION AND DISTANCE TRANSFORMATION

J. Shen, W. L. Han, J. Ge, L. B. Zhang, and H. Tan J. Shen et al.
  • National Quality Inspection and Testing Center for Surveying and Mapping Products, No. 28, Lianhuachixi Road, Haidian District, Beijing 100830, China

Keywords: Digital elevation model, Interpolation Method, Morphological reconstruction, Euclidean distance transformation with obstacles, Geodesic distance

Abstract. Interpolation methods have significant impacts on the accuracy of the digital elevation model (DEM) from contours which are one of frequently employed data sources. In this paper, an interpolation method is presented to build DEM from contour lines by fusion/integration of morphological reconstruction and distance transformation with obstacles. Particularly, morphological reconstruction is used to get the elevation values of the higher contour lines and the lower contour lines of any a spatial point between two contour lines, and distance transformation with obstacles is used to get the geodesic distances of the spatial point to the higher contour lines and the lower contour lines respectively. At last, linear interpolation along water flow line is used to get the elevation values of the pixels to be interpolated. The experiment demonstrates that feasibility of our proposed method.