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Large gap imputation in remote sensed imagery of the environment

Author

Listed:
  • Rulloni, Valeria
  • Bustos, Oscar
  • Flesia, Ana Georgina

Abstract

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.

Suggested Citation

  • Rulloni, Valeria & Bustos, Oscar & Flesia, Ana Georgina, 2012. "Large gap imputation in remote sensed imagery of the environment," Computational Statistics & Data Analysis, Elsevier, vol. 56(8), pages 2388-2403.
    • Handle: RePEc:eee:csdana:v:56:y:2012:i:8:p:2388-2403
    DOI: 10.1016/j.csda.2012.02.022
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    References listed on IDEAS

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    1. Paul D. Allison, 2000. "Multiple Imputation for Missing Data," Sociological Methods & Research, , vol. 28(3), pages 301-309, February.
    2. Ojeda, Silvia & Vallejos, Ronny & Bustos, Oscar, 2010. "A new image segmentation algorithm with applications to image inpainting," Computational Statistics & Data Analysis, Elsevier, vol. 54(9), pages 2082-2093, September.
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