Large gaps imputation in remote sensed imagery of the environment

  title={Large gaps imputation in remote sensed imagery of the environment},
  author={Valeria Rulloni and Oscar H. Bustos and Ana Georgina Flesia},
  journal={Computational Statistics & Data Analysis},
Imputation of missing data in large regions of satellite imagery is necessary when the acquired image has been damaged by shadows due to clouds, or information gaps produced by sensor failure. The general approach for imputation of missing data, that could not be considered missed at random, suggests the use of other available data. Previous work, like local linear histogram matching, take advantage of a co-registered older image obtained by the same sensor, yielding good results in filling… CONTINUE READING

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