HPC-ICTM: a Parallel Model for Geographic Categorization
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...
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| creator | Silva, R.K.S. De Rose, C.A.F. de Aguiar, M.S. Dimuro, G.P. Costa, A.C.R. |
| description | 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 |
| doi_str_mv | 10.1109/JVA.2006.23 |
| format | Conference Proceeding |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Biological system modeling Character generation Environmental factors Error analysis Error correction Geophysics Informatics Performance analysis Satellites Vegetation mapping |
| title | HPC-ICTM: a Parallel Model for Geographic Categorization |
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