Naslov
Cartographic Generalization of Line Elements based on Maximum Correlation

Autori
Vučetić, Nada ; Frančula, Nedjeljko ; Petrović, Svetozar

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings, ISGI 2005, International CODATA Symposium on Generalization of Information / Kremers, Horst - Berlin : CODATA-Germany, 2006, 57-73

Skup
ISGI 2005, International CODATA Symposium on Generalization of Information

Mjesto i datum
Berlin, Njemačka, 14.09.2005. - 16.09.2005

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
cartographic generalization; generalization of line elements; line simplification; maximum correlation; characteristics forms

Sažetak
Cartographic generalization is a special case of the generalization of information subjected to specific requirements. The present goal is full automa-tion, which is still a problem without a satisfactory solution, even for partial tasks, like the generalization of line features. Different algorithms for the latter can be found in the literature, probably all of them based on metric criteria. The basic idea of the approach proposed in this study (MCLS - Maximum Correla-tion Line Simplification) is to measure the similarity of forms using the correla-tion coefficient and to reduce the number of defining points in such a way that the simplified line remains as similar as possible to the original one. A solution of the problems of self-intersections and collisions with other objects for MCLS is presented as well. The advantages of the proposed new method are demonstrated by comparing it with the well-know Douglas-Peucker algorithm.

Izvorni jezik
Engleski

Znanstvena područja
Geodezija

POVEZANOST RADA