A statistical model for describing the texture of cloud cover images from satellite data
- Autores: Astafurov V.1,2, Kur’yanovich K.1, Skorokhodov A.1
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Afiliações:
- Zuev Institute of Atmospheric Optics, Siberian Branch
- Tomsk State University of Control Systems and Radioelectronics
- Edição: Volume 42, Nº 4 (2017)
- Páginas: 248-257
- Seção: Article
- URL: https://journals.rcsi.science/1068-3739/article/view/230095
- DOI: https://doi.org/10.3103/S1068373917040057
- ID: 230095
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Resumo
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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Sobre autores
V. Astafurov
Zuev Institute of Atmospheric Optics, Siberian Branch; Tomsk State University of Control Systems and Radioelectronics
Autor responsável pela correspondência
Email: astafurov@iao.ru
Rússia, pl. Akademika Zueva 1, Tomsk, 634021; pr. Lenina 40, Tomsk, 634050
K. Kur’yanovich
Zuev Institute of Atmospheric Optics, Siberian Branch
Email: astafurov@iao.ru
Rússia, pl. Akademika Zueva 1, Tomsk, 634021
A. Skorokhodov
Zuev Institute of Atmospheric Optics, Siberian Branch
Email: astafurov@iao.ru
Rússia, pl. Akademika Zueva 1, Tomsk, 634021