improving the matching rate of line feature by using dynamic simplification

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ID: 249120
2016
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Abstract
Vector line feature matching is one of the hot research in the field of spatial data matching. This paper proposes a method of improving the accuracy of line feature matching based on dynamic simplification. Firstly, use the square root law to respectively determine the numeric ranges of the simplification thresholds for the two matching line features; then, let the threshold change by a certain step within this range, and simplify the line features separately. After every simplification is completed, the matching similarity is recalculated and replaced by a higher value so as to attain the maximum similarity. Finally, compare the maximum similarity with the matching threshold to judge if the two line features match. This algorithm is essentially a process which adopts the dynamic simplification to drive the dynamic matching. The dynamic simplification can retain line's main morphological feature, in this way the impact of local details on matching algorithm decreases, accordingly the matching accuracy is improved. The validity and universality of the presented method is proved through experiments and comparative analysis.
Reference Key
jingnan2016actaimproving Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;CHEN Jingnan;QIAN Haizhong;WANG Xiao;HE Haiwei;HU Huiming
Journal Phytochemistry
Year 2016
DOI
10.11947/j.AGCS.2016.20150074
URL
http://html.rhhz.net/CHXB/html/2016-4-486.htm
Keywords
cartography square root lawmathematical geography

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