• DocumentCode
    2669184
  • Title

    Multiresolutional multisensor target identification

  • Author

    Korona, Zbigniew ; Kokar, Mieczyslaw M.

  • Author_Institution
    Dept. of Ind. Eng. & Inf. Syst., Northeastern Univ., Boston, MA, USA
  • fYear
    1994
  • fDate
    2-5 Oct 1994
  • Firstpage
    501
  • Lastpage
    506
  • Abstract
    An algorithm for multiresolutional multisensor target identification is presented. It uses the computationally efficient scale sequential approach to hypothesis testing during identification and implements the inverse discrete wavelet transform to fuse data from different multiresolution sensors. The authors show that fusion leads to an increase in the probability of correct identification without a significant increase in the number of computations
  • Keywords
    filtering theory; object recognition; sensor fusion; wavelet transforms; hypothesis testing; inverse discrete wavelet transform; multiresolutional multisensor target identification; probability; scale sequential approach; Discrete wavelet transforms; Filtering; Filters; Frequency; Fuses; Industrial engineering; Information systems; Sensor fusion; Sequential analysis; Signal resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multisensor Fusion and Integration for Intelligent Systems, 1994. IEEE International Conference on MFI '94.
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    0-7803-2072-7
  • Type

    conf

  • DOI
    10.1109/MFI.1994.398412
  • Filename
    398412
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2669184