Detecção de pistas de aeroporto em imagens orbitais utilizando morfologia matemática
Contribuinte(s) |
Universidade Estadual Paulista (UNESP) |
---|---|
Data(s) |
27/05/2014
27/05/2014
01/01/2005
|
Resumo |
The Brazilian Cartography presents great deficiency in cartographic products updating. This form, Remote Sensins techniques together Digital Processing Images - DPI, are contributing to improve this problem. The Mathematical Morphology theory was used in this work. The principal function was the pruning operator. With its were extracted the interest features that can be used in cartographic process updating. The obtained results are positives and showed the use potential of mathematical morphology theory in cartography, mainly in updating. |
Formato |
61-65 |
Identificador |
Ciencia y Engenharia/ Science and Engineering Journal, v. 14, n. 1, p. 61-65, 2005. 0103-944X http://hdl.handle.net/11449/68108 2-s2.0-33947494823 |
Idioma(s) |
por |
Relação |
Ciencia y Engenharia/ Science and Engineering Journal |
Direitos |
closedAccess |
Palavras-Chave | #Cartographics feature #Digital image processing #Mathematical morphology #Remote sensins #Updating #Feature extraction #Image analysis #Mapping #Remote sensing #Cartographic features #Cartographic process updating #Pruning operators #Airport runways |
Tipo |
info:eu-repo/semantics/article |