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Study on Recognition and Management of Cartographic Topology Preprocessing Mode

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Geo-Spatial Knowledge and Intelligence (GRMSE 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 699))

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Abstract

Targeted at the problem of inconsistent spatial data found during automated synthesis of cartography, an algorithm that could be utilized to rapidly recognize and process the spatial relationship of such incorrect spatial data was proposed in this paper. Not only was this algorithm able to remove topology errors and reduce data redundancy, but was beneficial to improve automaticity of automated synthesis of cartography. Related results indicated that satisfying requirements of production practices, which was conducive to foundation database maintenance, was provided with rather high practicability and stability.

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Acknowledgments

This project is supported by the Special Scientific Research Fund of Surveying and Mapping Geographic Information Public Welfare Profession (201512020), National SciTech Support Plan (2015BAJ06B01), and Basic Scientific Research Business Expense Project of the Chinese Academy of Surveying & Mapping (7771606).

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Authors and Affiliations

  1. Chinese Academy of Surveying and Mapping, Lianhuachi Xi Road, Haidian District, Beijing, China

    Chengming Li, Xiaoli Liu, Wei Wu & Yong Yin

Authors
  1. Chengming Li
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  2. Xiaoli Liu
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  3. Wei Wu
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  4. Yong Yin
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Corresponding author

Correspondence to Chengming Li .

Editor information

Editors and Affiliations

  1. Beijing Institute of Technology, Beijing, China

    Hanning Yuan

  2. Beijing Institute of Technology, Beijing, China

    Jing Geng

  3. Wuhan University, Wuhan, China

    Fuling Bian

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Li, C., Liu, X., Wu, W., Yin, Y. (2017). Study on Recognition and Management of Cartographic Topology Preprocessing Mode. In: Yuan, H., Geng, J., Bian, F. (eds) Geo-Spatial Knowledge and Intelligence. GRMSE 2016. Communications in Computer and Information Science, vol 699. Springer, Singapore. https://doi.org/10.1007/978-981-10-3969-0_26

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  • DOI: https://doi.org/10.1007/978-981-10-3969-0_26

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3968-3

  • Online ISBN: 978-981-10-3969-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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