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Simulation of Maritime Joint Sea-Air Search Trend Using 3D GIS

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Algorithms and Architectures for Parallel Processing (ICA3PP 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8631))

Abstract

Joint sea-air search at sea is the search operations which aircrafts and vessels are coordinated, is the most effective way to find maritime targets in distress. Present search and rescue decision-making systems based on 2D GIS (such as ECS, Electronic Chart System) are not intuitive to show three-dimensional search activity, affecting the effectiveness of decision-making. 3D GIS is an intuitive and accurate way to express realistic geographic information, it supports three-dimensional spatial analysis and visualization, so it’s suitable for joint sea-air search operations simulation. This paper introduces simulation process of sea-air search trend at sea using 3D GIS, which helps search commander to judge search trend (including search efforts’ dynamic and degree of area coverage), improving their capabilities to command search operations.

Supported by the Fundamental Research Funds for the Central Universities (3132014027, 3132013017).

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References

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Author information

Authors and Affiliations

  1. Navigation College, Dalian Maritime University, 1 Linghai Road, Dalian, China

    Xing Shengwei, Wang Renda, Yang Xuefeng & Liu Jiandao

Authors
  1. Xing Shengwei
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  2. Wang Renda
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  3. Yang Xuefeng
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  4. Liu Jiandao
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Illinois Institute of Technology, 60616-3793, Chicago, IL, USA

    Xian-he Sun

  2. School of Computer Science and Technology, Dalian Maritime University, 1 Linghai Road, 116026, Dalian, China

    Wenyu Qu

  3. SEECS, University of Ottawa, 8, King Edward Ave, K1N 6N5, Ottawa, ON, Canada

    Ivan Stojmenovic

  4. Deakin University, 221 Burwood Highway, 3125, Burwood, VIC, Australia

    Wanlei Zhou

  5. Dalian Maritime University, NO.1 Linhai Road Dailian, 116026, China

    Zhiyang Li

  6. BeiHang University, XueYuan Road No.37, HaiDian District, Beijing, China

    Hua Guo

  7. University of Bradford, BD7 1DP, Bradford, West Yorkshire, United Kingdom

    Geyong Min

  8. Dalian Maritime University, NO.1 Linhai Road Dailian, China, 116026

    Tingting Yang

  9. Computer Network Information Center, Chinese Academy of Sciences, 100190, Beijing, China

    Yulei Wu

  10. Shandong University, 27 Shanda Nanlu, 250100, Jinan City, Shandong Province, China

    Lei Liu

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© 2014 Springer International Publishing Switzerland

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Cite this paper

Shengwei, X., Renda, W., Xuefeng, Y., Jiandao, L. (2014). Simulation of Maritime Joint Sea-Air Search Trend Using 3D GIS. In: Sun, Xh., et al. Algorithms and Architectures for Parallel Processing. ICA3PP 2014. Lecture Notes in Computer Science, vol 8631. Springer, Cham. https://doi.org/10.1007/978-3-319-11194-0_46

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  • DOI: https://doi.org/10.1007/978-3-319-11194-0_46

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11193-3

  • Online ISBN: 978-3-319-11194-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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