Full text: Papers accepted on the basis of peer-reviewed abstracts (Part B)

In: Wagner W., Székely, B. (eds.): ISPRS TC VII Symposium - 100 Years ISPRS, Vienna, Austria, July 5-7, 2010, IAPRS, Yol. XXXVIII, Part 
534 
necessary that the user has minimum notions of mathematical 
morphology for the choice of the best structuring elements to be 
adopted and also, have knowledge on digital image processing so 
that it can choose the thresholds values appropriately to be used 
by the morphologic operators employees in the processing. 
In the Cartography the obtained results are of extreme importance 
once, they were resulting of the application of alternative 
methodology for the features detection in digital images. The 
detected features can be used in conventional processes of 
cartographic products updating. 
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J. Facón, Morfología Matemática: teoría e aplicaqoes, 
Universitária Champagnat da Pontifica Universidade Católica do 
Paraná, Curitiba, 1996. 
J. E. Colwell, Vegetation canopy reflectance, Remote Sensing of 
Environment. V. 3, n. 3, p. 175-183, Mar. 1974. 
J. Goutsias; H.J.A.M. Heijmans, Mathematical morphology, 
Amsterdam, 2000. 
P. Soille, Morphological Image Analysis: Principles and 
applications, Springer-Verlag, Berlin, 1999.
	        
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