Desenvolvimento de um sistema hierárquico de classificação com aplicação baseada em abordagem Fuzzy
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Data
2010-01-01
Autores
Prado, Fernanda de Almeida [UNESP]
Trindade Galo, Maria de Lourdes Bueno [UNESP]
Título da Revista
ISSN da Revista
Título de Volume
Editor
Universidade Federal do Paraná (UFPR), Centro Politecnico
Resumo
Land cover mappings represent important tools for the regional planning. However, the current mappings are related to very specific purposes and, consequently, they are limited in their capacity to define the wide variety of existing types of land cover. In that context, this paper aims at developing a wide and including hierarchical classification system for land cover mapping in regional scale, which should contribute for a future standardization of classes. Besides, it is intended to test that system for a study case that contemplates the use of a classification method based on fuzzy approach, which has shown to be more appropriate than conventional approaches. Therefore, it was proposed a hierarchical classification system with three detailing levels and a study case was defined with the specification of the test area and of the classification project. Then, the georreferencing of a TM/Landsat-5 image that comprises the test area was carried out. Later, it was applied a fuzzy classification approach in the TM/Landsat-5 image, starting from images of probability for the mapped classes and an uncertainty image were generated. Finally, it was produced a conventional output that represents the thematic mapping of the test area.
Descrição
Palavras-chave
remote sensing, hierarchical classification system, land cover
Como citar
Boletim de Ciências Geodesicas. Curitiba Pr: Universidade Federal do Paraná (UFPR), Centro Politecnico, v. 16, n. 2, p. 309-331, 2010.