Preliminary Analysis of Quality of Contour Lines Using Smoothing Algorithms

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 gener...

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Main Authors: Mirko Borisov, Andrej Pal, Milan Vrtunski, Dušan Jovanović, Vladimir M. Petrović, Milivoj Vulić
Format: Article
Language:English
Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2019-01-01
Series:Tehnički Vjesnik
Subjects:
Online Access:https://hrcak.srce.hr/file/329355
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author Mirko Borisov
Andrej Pal
Milan Vrtunski
Dušan Jovanović
Vladimir M. Petrović
Milivoj Vulić
author_facet Mirko Borisov
Andrej Pal
Milan Vrtunski
Dušan Jovanović
Vladimir M. Petrović
Milivoj Vulić
author_sort Mirko Borisov
collection DOAJ
description 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.
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spelling doaj.art-9e922158885347e987e653f879e0c82d2024-04-15T15:46:46ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392019-01-012651305131310.17559/TV-20180827150721Preliminary Analysis of Quality of Contour Lines Using Smoothing AlgorithmsMirko Borisov0Andrej Pal1Milan Vrtunski2Dušan Jovanović3Vladimir M. Petrović4Milivoj Vulić5University of Novi Sad, Faculty of Technical Sciences, Trg Dositeja Obradovića 6, 21000 Novi Sad, Republic of SerbiaUniversity of Ljubljana, Faculty of Natural Sciences and Engineering, Department of Geotechnology, Mining and Environment, Aškerčeva 12, 1000 Ljubljana, Republic of SloveniaUniversity of Novi Sad, Faculty of Technical Sciences, Trg Dositeja Obradovića 6, 21000 Novi Sad, Republic of SerbiaUniversity of Novi Sad, Faculty of Technical Sciences, Trg Dositeja Obradovića 6, 21000 Novi Sad, Republic of SerbiaUniversity of Belgrade, Institute of Chemistry, Technology and Metallurgy, Department for Ecology and Technoeconomics, Njegoševa 12, 11000 Belgrade, Republic of SerbiaUniversity of Ljubljana, Faculty of Natural Sciences and Engineering, Chair for Mine Surveying and Applied Geophysics, Aškerčeva 12, 1000 Ljubljana, Republic of SloveniaIn 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.https://hrcak.srce.hr/file/329355cartographycontour linefilteringgeneralizationqualitysimplification
spellingShingle Mirko Borisov
Andrej Pal
Milan Vrtunski
Dušan Jovanović
Vladimir M. Petrović
Milivoj Vulić
Preliminary Analysis of Quality of Contour Lines Using Smoothing Algorithms
Tehnički Vjesnik
cartography
contour line
filtering
generalization
quality
simplification
title Preliminary Analysis of Quality of Contour Lines Using Smoothing Algorithms
title_full Preliminary Analysis of Quality of Contour Lines Using Smoothing Algorithms
title_fullStr Preliminary Analysis of Quality of Contour Lines Using Smoothing Algorithms
title_full_unstemmed Preliminary Analysis of Quality of Contour Lines Using Smoothing Algorithms
title_short Preliminary Analysis of Quality of Contour Lines Using Smoothing Algorithms
title_sort preliminary analysis of quality of contour lines using smoothing algorithms
topic cartography
contour line
filtering
generalization
quality
simplification
url https://hrcak.srce.hr/file/329355
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AT milanvrtunski preliminaryanalysisofqualityofcontourlinesusingsmoothingalgorithms
AT dusanjovanovic preliminaryanalysisofqualityofcontourlinesusingsmoothingalgorithms
AT vladimirmpetrovic preliminaryanalysisofqualityofcontourlinesusingsmoothingalgorithms
AT milivojvulic preliminaryanalysisofqualityofcontourlinesusingsmoothingalgorithms