• DocumentCode
    1734887
  • Title

    Multiresolution rotation invariant simultaneous auto regressive model for texture analysis

  • Author

    Jiaruo, Wan ; Jianchang, Mao ; Dao, Wang Chenq

  • Author_Institution
    Dept. of Electron. Sci. & Technol., East China Normal Univ., Shanghai, China
  • fYear
    1988
  • Firstpage
    845
  • Abstract
    Two models, called the multivariate rotation-invariant SAR (RISAR) model and the multiresolution SAR/RISAR (MRSAR/MRRISAR) model, are presented. The information used by the in MRSAR/MRRISAR model is more complete and more independent. Many experiments on image classification using RISAR model and MRRISAR model indicate that these models have very strong classification power, wide area in which they can be used, very good rotation invariance, and high speed for recognition
  • Keywords
    pattern recognition; MRSAR/MRRISAR; classification power; multiresolution SAR/RISAR; multiresolution rotation invariant simultaneous autoregressive model; multivariate rotation-invariant SAR; pattern recognition; rotation invariance; texture analysis; Character recognition; Cognition; Image analysis; Image classification; Image recognition; Image resolution; Image texture analysis; Information analysis; Kernel; Layout;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1988., 9th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    0-8186-0878-1
  • Type

    conf

  • DOI
    10.1109/ICPR.1988.28377
  • Filename
    28377