DocumentCode :
2804180
Title :
HPC-ICTM: a Parallel Model for Geographic Categorization
Author :
Silva, Rafael K Santos ; De Rose, César A F ; De Aguiar, Marilton S. ; Dimuro, Graçaliz P. ; Costa, Antônio C R
Author_Institution :
Programa de Pos-Graduacao em Ciencia da Computacao, Catholic Univ. of Rio Grande do Sul, Porto Alegre
fYear :
2006
fDate :
3-6 Oct. 2006
Firstpage :
143
Lastpage :
148
Abstract :
This paper presents a parallel version of the interval categorizer tessellation-based model (ICTM) for the simultaneous categorization of geographic regions considering several characteristics (e.g., relief vegetation, land use etc.) in clusters, called HPC-ICTM. Interval techniques are used for the modeling of uncertain data and the control of discretization errors. We analyze the performance of the HPC-ICTM and present results concerning its application to the relief/land-use categorization of the region surrounding the lagoon Lagoa Pequena (RS, Brazil), which is extremely important from an ecological point of view
Keywords :
terrain mapping; Brazil; HPC-ICTM; geographic categorization; geographic region categorization; interval categorizer tessellation-based model; lagoon Lagoa Pequena; parallel model; relief/land-use categorization; Biological system modeling; Character generation; Environmental factors; Error analysis; Error correction; Geophysics; Informatics; Performance analysis; Satellites; Vegetation mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modern Computing, 2006. JVA '06. IEEE John Vincent Atanasoff 2006 International Symposium on
Conference_Location :
Sofia
Print_ISBN :
0-7695-2643-8
Type :
conf
DOI :
10.1109/JVA.2006.23
Filename :
4022053
Link To Document :
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