• DocumentCode
    2892961
  • Title

    Multi-range Fusion Technique Using Multi-channel Monitoring SST

  • Author

    Xu, Lingyu ; Zhang, Pingen ; Fang, Xiaojun ; Wu, Shaochun ; Han, Guijun ; Xu, Dongfeng

  • Author_Institution
    Dept. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
  • fYear
    2009
  • fDate
    12-14 Oct. 2009
  • Firstpage
    49
  • Lastpage
    53
  • Abstract
    Based on the consistency analysis of the multi-channel, multi-agency, multi-technology SST data, this paper mainly develops the following works: Firstly, this paper analyses various combination relations among the multi-channel source data and provides an evaluation standard for the quality of the result data. Secondly, considering the normal distribution of monitoring data; according to the confidence degree, this paper defines multi-intervals, adopts the weighted average algorithm to fuse the multi-channel interval data and proposes a multi-intervals expression method to fuse result based on confidence degree. Finally, based on the above ideas, a fusion expression system model about the multi-channel monitoring SST data has been designed. The system is aimed to provide a tool for different level users to survey information hidden in multi-channel monitoring data.
  • Keywords
    computerised monitoring; data analysis; normal distribution; ocean temperature; consistency analysis; fusion expression system model; multi-channel monitoring SST; multi-channel source data; multi-intervals expression method; multi-range fusion technique; weighted average algorithm; Computer errors; Extraterrestrial measurements; Fuses; Gaussian distribution; Marine technology; Measurement errors; Ocean temperature; Remote monitoring; Satellites; Sea measurements;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantics, Knowledge and Grid, 2009. SKG 2009. Fifth International Conference on
  • Conference_Location
    Zhuhai
  • Print_ISBN
    978-0-7695-3810-5
  • Type

    conf

  • DOI
    10.1109/SKG.2009.35
  • Filename
    5368042