ICTM: an interval tessellation-based model for reliable topographic segmentation


Autoria(s): Aguiar, Marilton Sanchotene de; Dimuro, Graçaliz Pereira; Costa, Antonio Carlos da Rocha
Data(s)

30/08/2016

30/08/2016

2004

Resumo

This work introduces a tessellation-based model for the declivity analysis of geographic regions. The analysis of the relief declivity, which is embedded in the rules of the model, categorizes each tessellation cell, with respect to the whole considered region, according to the (positive, negative, null) sign of the declivity of the cell. Such information is represented in the states assumed by the cells of the model. The overall configuration of such cells allows the division of the region into subregions of cells belonging to a same category, that is, presenting the same declivity sign. In order to control the errors coming from the discretization of the region into tessellation cells, or resulting from numerical computations, interval techniques are used. The implementation of the model is naturally parallel since the analysis is performed on the basis of local rules. An immediate application is in geophysics, where an adequate subdivision of geographic areas into segments presenting similar topographic characteristics is often convenient.

Identificador

AGUIAR, Marilton Sanchonete de; DIMURO, Graçaliz Pereira; COSTA, Antonio Carlos da Rocha. ICTM: an interval tessellation-based model for reliable topographic segmentation. Numerical Algorithms, v. 37, n. 1, p. 3–11, 2004. Disponível em: <http://link.springer.com/article/10.1023/B%3ANUMA.0000049453.95969.41>. Acesso em: 12 jan. 2015.

1572-9265

http://repositorio.furg.br/handle/1/6431

Idioma(s)

eng

Direitos

open access

Palavras-Chave #Tessellation-based model #Topographic categorization #Interval mathematics #Geophysics
Tipo

article