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Journal of Automation and Information Sciences
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN Imprimir: 1064-2315
ISSN En Línea: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v46.i12.30
pages 19-26

Reconstruction of Missing Data in Time-Series of Optical Satellite Images Using Self-Organizing Kohonen Maps

Sergey V. Skakun
Institute of Space Research of National Academy of Sciences of Ukraine and National Space Agency of Ukraine, Kiev, Ukraine
Ruslan M. Basarab
Institute of Space Research of National Academy of Sciences of Ukraine and State Space Agency of Ukraine, Kiev

SINOPSIS

The paper offers the reconstruction method of data in time-series of optical satellite images of high and medium spatial resolution. The method is based on self-organizing Kohonen maps (SOMs). The reconstruction accuracy was analyzed on data of satellites Landsat-8 (30 m) and Sich-2 (8 m). The average error of reconstruction was 11 % for Landsat-8 and 4 % for Sich-2.


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