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Constructing a dem from grid-based data by computing intermediate contours
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Source Geographic Information Systems archive
Proceedings of the 11th ACM international symposium on Advances in geographic information systems table of contents
New Orleans, Louisiana, USA
Pages: 71 - 77  
Year of Publication: 2003
ISBN:1-58113-730-3
Authors
Michael B. Gousie  Wheaton College, Norton, MA
Wm. Randolph Franklin  Rensselaer Polytechnic Institute, Troy, NY
Sponsors
ACM: Association for Computing Machinery
SIGMIS: ACM Special Interest Group on Management Information Systems
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
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ABSTRACT

We present a technique for creating a digital elevation model (DEM) from grid-based contour data. The method computes new, intermediate contours in between existing isolines. These are found by finding the shortest line segment that connects points on two neighboring contours with differing elevations. The midpoint of the line segment becomes a point on the intermediate contour. The contours are completed by connecting individual points. The new contours are then used as data for successive iterations, until an initial surface is formed. Peaks are computed by Hermite splines that follow the slope trend. Gaussian smoothing is applied to the entire surface or only to newly computed elevations, yielding an approximated or interpolated surface, respectively. The DEMs are tested with quantitative methods, and are shown to compare favorably to well established algorithms.


REFERENCES

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Collaborative Colleagues:
Michael B. Gousie: colleagues
Wm. Randolph Franklin: colleagues

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