Izvorni znanstveni članak

https://doi.org/10.17559/TV-20180827150721

Preliminary Analysis of Quality of Contour Lines Using Smoothing Algorithms

Mirko Borisov orcid.org/0000-0002-7234-6372 ; University of Novi Sad, Faculty of Technical Sciences, Trg Dositeja Obradovića 6, 21000 Novi Sad, Republic of Serbia
Andrej Pal ; University of Ljubljana, Faculty of Natural Sciences and Engineering, Department of Geotechnology, Mining and Environment, Aškerčeva 12, 1000 Ljubljana, Republic of Slovenia
Milan Vrtunski ; University of Novi Sad, Faculty of Technical Sciences, Trg Dositeja Obradovića 6, 21000 Novi Sad, Republic of Serbia
Dušan Jovanović orcid.org/0000-0001-6834-0376 ; University of Novi Sad, Faculty of Technical Sciences, Trg Dositeja Obradovića 6, 21000 Novi Sad, Republic of Serbia
Vladimir M. Petrović orcid.org/0000-0003-0745-4008 ; University of Belgrade, Institute of Chemistry, Technology and Metallurgy, Department for Ecology and Technoeconomics, Njegoševa 12, 11000 Belgrade, Republic of Serbia
Milivoj Vulić ; University of Ljubljana, Faculty of Natural Sciences and Engineering, Chair for Mine Surveying and Applied Geophysics, Aškerčeva 12, 1000 Ljubljana, Republic of Slovenia

Sažetak

In this paper several well-known filtering techniques were compared in the purpose of automatic line generalization. The used methods for line simplification are digital first order low-pass filter, Savitzky-Golay (SG) filter and Whittaker filter. Two versions of the algorithm for line feature generalization were tested, from source scale 1:25 000 towards target scale of 1:100 000 and from source scale 1:25 000 towards scale of 1:50 000. Also, GPS data filtering for the target scale 1:50 000 was tested. The first version of the algorithm considers that there are no control data, and the filtering parameter is dictated by the desired accuracy for the target scale. The second version involves control data in the target scale. This means that the optimal value for the filtering parameter is the value for which the difference between input and control data is the smallest. Analysis showed that the SG filter yielded the best results in general. The proposed filters can be considered as a new solution for automated cartographic line simplification.

Ključne riječi

cartography; contour line; filtering; generalization; quality; simplification

Hrčak ID:

226013

URI

https://hrcak.srce.hr/226013

Datum izdavanja:

8.10.2019.

Posjeta: 1.268 *