OPTIMIZATION OF DEM INTERPOLATION
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Abstract
Digital Elevation Models (DEMs) are simply regular grids of elevation measurements over the land surface. DEMs are mainly extracted by applying the technique of stereo measurements on images available from photogrammetry and remote sensing. DEMs play a vital role in many scientific, environmental, engineering as well as military applications which need accurate and dense DEMs. However, generating a dense and accurate DEM comes with the price of spending both time and money on the field measurements. Fortunately, advanced space technology has provided much single (if not stereo) high resolution satellite imageries almost worldwide with the available global or local DEMs. This study included evaluating both DEM produced from topographic map and raster DEM after resolution enhancement by using single satellite image. According to the results of these experiments, a strategy was proposed for using the reflectance data to enhance the accuracy of DEM interpolation. The proposed the reflectance data models were implemented in a software package and successfully tested.
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References
Allam M. M., 1978, “DTM Application in Topographic Mapping”, PE and RS Journal Vol.44, No.12, pp (1513-1520).
Anderson J. M. and Mikhail E. M., 1998, “Surveying Theory and Practice”, Seventh Edition, University of California Berkeley, pp (792-793).
ESRI, 2002, “Help of ArcGIS”, Computer Program.
ERDAS Felid Guide, 1999, Fifth Edition, Revised and Expanded, ERDAS, Inc. Atlanta, Georgia.
Gonzalez, R. C., 1977, “Digital Image Processing”, Department of Electrical Engineering, University of Tennessee, Addison-Wesley Publishing Company, Advanced Book Program Reading, Massachusetts.
Khalaf, S., 2004, “Digital Elevation Model Using GPS and GIS System”, M.Sc. Thesis, College of Engineering, Department of Surveying, Baghdad University.
Mohammed Rajabi, 2003, “Densification of DTM Gird Data Using Single Satellite Imagery”, M.Sc. Thesis, Department of Geometrics Engineering, University of Calgary, and Retrieved December 2007 from:
http://www.geomatics.ucalgary.ca/links/GradTheses.html
USGS Science for a Changing World, 2001, “Image Processing Procedure”, Retrieved March 2008 from: http://edc.usgs.gov/glis/hyper/guide/nlapssys3.html.