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