Partial cloud cover estimation within a pixel based on the category decompositions.

DOI

Bibliographic Information

Other Title
  • カテゴリー分解による画素内被雲率推定

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Description

A comparative study was conducted for estimation of the sea surface temperature of the pixel suffered from partial cloud cover within a pixel. Three methods for estimation of partial cloud cover within a pixel, based on well known least square method and maximum likelihood method, were compared. It was found that around 9% of RMS error can be achieved. Also it was found that estimation accuracy highly depends on variance of representative vectors for cloud and the ocean, or observed noise. The experimental results with simulated data show RMS error of Generalized Inverse Matrix Method is highly dependent to the noise followed by Maximum Likelihood Method and Least Square Method. The results also show the best estimation accuracy can be achieved for Maximum Likelihood Method followed by Least Square Method and Generalized Inverse Matrix Method.

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Details 詳細情報について

  • CRID
    1390001204077900416
  • NII Article ID
    130004371643
  • DOI
    10.4287/jsprs.31.5_4
  • ISSN
    18839061
    02855844
  • Text Lang
    ja
  • Data Source
    • JaLC
    • Crossref
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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