• DocumentCode
    670037
  • Title

    The generalized statistical complexity of PolSAR data

  • Author

    Frery, Alejandro C. ; de Almeida, Eliana S. ; Rosso, Osvaldo A.

  • Author_Institution
    LaCCAN-Lab. de Comput. Cienc. e Analise Numerica, Univ. Fed. de Alagoas, Maceio, Brazil
  • fYear
    2013
  • fDate
    23-27 Sept. 2013
  • Firstpage
    100
  • Lastpage
    103
  • Abstract
    This paper presents and discusses the use of a new feature for PolSAR imagery: the Generalized Statistical Complexity. This measure is able to capture the disorder of the data by means of the entropy, as well as its departure from a reference distribution. The latter component is obtained by measuring a stochastic distance between two models: the G0 and the Gamma laws. Preliminary results on the intensity components of AIRSAR image of San Francisco are encouraging.
  • Keywords
    entropy; radar polarimetry; remote sensing by radar; stochastic processes; synthetic aperture radar; AIRSAR image intensity components; G0 model; PolSAR data; PolSAR imagery feature; San Francisco; data disorder capture; entropy; gamma law model; generalized statistical complexity; reference distribution departure; stochastic distance measurement; Complexity theory; Computational modeling; Entropy; Feature extraction; Sea measurements; Stochastic processes; Synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Synthetic Aperture Radar (APSAR), 2013 Asia-Pacific Conference on
  • Conference_Location
    Tsukuba
  • Type

    conf

  • Filename
    6705020
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=670037