Abstract
In this work, we propose a set of algorithms to manage the resolution of DEM for simulation processes. First, we present an application to handle the huge quantity of data contained in DEM for real-time rendering by discriminating the less significant elevation data. On the other hand, as a second step of the process, we extend the algorithm to increase the spatial resolution of DEM for cases when it is needed. Finally, we introduce a method for increasing spectral resolution of DEM by using a skeletonization process. The algorithms were developed to be used with raster data sets, although similar considerations can be taken for vector data sets.
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Quintero, R., Levachkine, S., Torres, M., Moreno, M., Guzman, G. (2005). Managing Resolution in Digital Elevation Models Using Image Processing Techniques. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds) Pattern Recognition and Image Analysis. IbPRIA 2005. Lecture Notes in Computer Science, vol 3522. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11492429_39
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DOI: https://doi.org/10.1007/11492429_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26153-7
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