Full text: Proceedings; XXI International Congress for Photogrammetry and Remote Sensing (Part B1-3)

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part Bl. Beijing 2008 
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important to the land use classification and control of soil and 
water loss, etc. 
As a whole, the visual test and experimental results show that 
the correction method can integrate the feature information with 
grid DEM and describe the terrain more closely to the reality, 
especially in the abrupt changing areas. 
5. CONCLUSIONS 
As the existing grid-based DEM plays an important role in GIS 
and it’s widely used to modelling the terrain surface, the 
disadvantages should be made up. With the analysis of terrain 
representation distortion, this paper provides a new structure of 
DEM using the embedded terrain features, and gives a 
correction method to the existing grid-based DEM. From the 
visual test, terrain features are integrated with the grid mesh and 
DEM representation is improved. With the findings of this 
study, the following conclusions can be draw as follows: 
• Terrain representation distortion is inevitably existed in 
grid-based DEM, and it goes against with terrain analysis 
and DEM application. 
• The new structure is simple and easy to realize, what’s 
more, it’s still a raster structure. It makes good use of the 
existing grid structure. 
• The correction method improves the representation 
precision of DEM, then the digital terrain analysis can be 
improved. It also gives some suggestions to DEM 
sampling. With the method, high quality demanded DEM 
can be produced and DEM will be more widely used. 
REFERENCES 
Alias A., Rahman J. Geoinformatik and Fakulti U., 1994. 
Digital Terrain Model Data Structures. Buletin UkUr, 5(1), pp. 
61-72 
Amor M. and Boo M., 2007. A New Architecture for Efficient 
Hybrid Representation of Terrains. Journal of Systems 
Architecture, 
Amor M., Boo M. and Dollner J., 2004. Hardware support for 
hybrid grid representation of terrains. Technical Report, 
University of Santiago de Compostela, http://www.ac.usc.es 
Boo M., Amor M., Dollner J., 2007. Unified Hybrid Terrain 
Representation Based on Local Convexifications, 
Geolnformatica, 11(3), pp. 331-357 
Carter, J. R., 1988. Digital representations of topographic 
surfaces. Photogrammetric Engineering and Remote Sensing, 
54, pp. 1577-1580 
Collins, S. H., and Moon, G. C., 1981. Algorithms for dense 
digital terrain models. Photogrammetric Engineering and 
Remote Sensing, 47, pp. 71-76 
John P. W. and John C. G., 2000. Terrain analysis: principles 
and applications. New York, John Wiley &Sons 
Kraus K., and Otepka J., 2005. DTM Modeling and 
Visualization - The SCOP Approach. Photogrammetric Week 
'05, D. Fritsch (ed.). Herbert Wichmann Verlag, Heidelberg, pp. 
241-252 
Kumler M. P., 1994. An intensive comparison of triangulated 
irregular networks (TINs) and digital elevation models. 
Cartographica, 31, pp. 1-99 
Lee J., 1991. Comparison of existing methods for building 
triangular irregular network models of terrain from grid digital 
elevation models. International Journal of Geographical 
Information Systems, 5, pp. 267-285 
Li Z., Zhu Q. and Gold C., 2005. Digital Terrain Modelling: 
Principles and Methodology, CRC Press 
Moore, I. D., Grayson, R. B., and Ladson, A. R., 1991. Digital 
terrain modeling: a review of hydrological, geomorphological, 
and biological applications. Hydrological Processes, 5, pp. 3-30 
Puecker T. K., R. J. FOWLER, J. J. LITTLE, and D. M. MARK, 
1978. The Triangulated Irregular Network. ASP Proceedings of 
Digital Terrain Models(DTM) Symposium, St. Louis, Missouri, 
pp.516-540 
Puequet D. J., 1990. A Conceptual Framework and Comparison 
of Spatial Data Models. Introductory Readings in Geographical 
Information Systems, Taylor & Francis Publication, pp. 250-285 
Weibel R. and Heller M, 1990. A framework for digital terrain 
modelling. Proceedings of the Fourth International Symposium 
on Spatial Data Handling, Zurich, 1, pp. 219-229 
Zevenbergen L. W., and Thome C. R., 1987. Quantitative 
analysis of land surface topography. Earth Surface Processes 
and Landforms, 12, pp. 47-56 
ACKNOWLEDGEMENT 
This study was funded through support from the the National 
High-tech Research and Development Program (863 Program, 
No. 2006AA12Z212) and the Scientific Research and 
Innovation Plan of the Regular Institutions of Higher Education 
Graduate Student of Jiangsu Province (No. CX07B_040z).
	        
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