• DocumentCode
    3065071
  • Title

    Underwater Terrain Navigability Analysis Based on Multi-beam Data

  • Author

    Ma, Yan ; Zhao, Yuxin

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ., Harbin, China
  • fYear
    2012
  • fDate
    23-26 June 2012
  • Firstpage
    848
  • Lastpage
    852
  • Abstract
    According to underwater terrain characteristic, the multi-index synthetic evaluation theory is used for calculating matching area of an underwater terrain-aided navigation system in this paper. Considering the terrain elevation standard deviation, roughness, terrain correlation coefficient, topographic information entropy and other crucial terrain characteristic parameters on the effect of navigation performance, and select system evaluation factors set, then the entropy weight method and CRITIC method is respectively used to determine the weight of every evaluation index, finally educe navigation performance evaluation value of the terrain, which provides the basis reference for each selected matching area. All tests show that the evaluation results which determine the weights with CRITIC method are more stable, and the value higher, the navigation performance is better.
  • Keywords
    entropy; hydrological techniques; navigation; terrain mapping; CRITIC method; criteria importance through intercriteria correlation; entropy weight method; matching area calculating; multibeam data; multiindex synthetic evaluation theory; navigation performance evaluation; terrain characteristic parameters; terrain correlation coefficient; terrain elevation standard deviation; terrain roughness; topographic information entropy; underwater terrain navigability analysis; Correlation; Educational institutions; Entropy; Indexes; Navigation; Standards; CRITIC; entropy weight method; multi-index synthetic evaluation; terrain navigability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2012 Fifth International Joint Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4673-1365-0
  • Type

    conf

  • DOI
    10.1109/CSO.2012.191
  • Filename
    6274855