A Fast O(N) Multiresolution Polygonal Approximation Algorithm for GPS Trajectory Simplification

Recent advances in geopositioning mobile phones have made it possible for users to collect a large number of GPS trajectories by recording their location information. However, these mobile phones with built-in GPS devices usually record far more data than needed, which brings about both heavy data s...

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Vydané v:IEEE transactions on image processing Ročník 21; číslo 5; s. 2770 - 2785
Hlavní autori: Minjie Chen, Mantao Xu, Franti, P.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York, NY IEEE 01.05.2012
Institute of Electrical and Electronics Engineers
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ISSN:1057-7149, 1941-0042, 1941-0042
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Shrnutí:Recent advances in geopositioning mobile phones have made it possible for users to collect a large number of GPS trajectories by recording their location information. However, these mobile phones with built-in GPS devices usually record far more data than needed, which brings about both heavy data storage and a computationally expensive burden in the rendering process for a Web browser. To address this practical problem, we present a fast polygonal approximation algorithm in 2-D space for the GPS trajectory simplification under the so-called integral square synchronous distance error criterion in a linear time complexity. The underlying algorithm is designed and implemented using a bottom-up multiresolution method, where the input of polygonal approximation in the coarser resolution is the polygonal curve achieved in the finer resolution. For each resolution (map scale), priority-queue structure is exploited in graph construction to construct the initialized approximated curve. Once the polygonal curve is initialized, two fine-tune algorithms are employed in order to achieve the desirable quality level. Experimental results validated that the proposed algorithm is fast and achieves a better approximation result than the existing competitive methods.
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ISSN:1057-7149
1941-0042
1941-0042
DOI:10.1109/TIP.2012.2186146