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A statistical model for describing the texture of cloud cover images from satellite data

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Abstract

A statistical model is proposed which describes the texture of the images of 25 types of clouds from the MODIS satellite data with the spatial resolution of 250 m. A technique is presented which compiles the sets of image segments with typical textures for different cloud types. To describe the texture, the following statistical methods are applied: Gray-Level Co-occurrences Matrix, Gray-Level Difference Vector, and Sum and Difference Histogram. The correlation analysis is used to form the sets of informative textural features for the images of different cloud types. Two-parameter distribution laws and the estimates of their parameters are presented which describe fluctuations in the efficient set of textural features of different cloud types.

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Authors and Affiliations

  1. Zuev Institute of Atmospheric Optics, Siberian Branch, Russian Academy of Sciences, pl. Akademika Zueva 1, Tomsk, 634021, Russia

    V. G. Astafurov, K. V. Kur’yanovich & A. V. Skorokhodov

  2. Tomsk State University of Control Systems and Radioelectronics, pr. Lenina 40, Tomsk, 634050, Russia

    V. G. Astafurov

Authors
  1. V. G. Astafurov
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  2. K. V. Kur’yanovich
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  3. A. V. Skorokhodov
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Corresponding author

Correspondence to V. G. Astafurov.

Additional information

Original Russian Text © V.G. Astafurov, K.V. Kur’yanovich, A. V. Skorokhodov, 2017, published in Meteorologiya i Gidrologiya, 2017, No. 4, pp. 53-66.

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Astafurov, V.G., Kur’yanovich, K.V. & Skorokhodov, A.V. A statistical model for describing the texture of cloud cover images from satellite data. Russ. Meteorol. Hydrol. 42, 248–257 (2017). https://doi.org/10.3103/S1068373917040057

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  • DOI: https://doi.org/10.3103/S1068373917040057

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