ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2013, Vol. 10, No. 4, pp. 188-197

Statistical model of the texture of images of various cloudiness types from MODIS data

V.G. Astafurov 1, T.V. Evsyutkin 2, K.V. Kuryanovich 1, A.V. Skorokhodov 2
1 Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia; Tomsk, Russia
2 V.E. Zuev Institute of Atmospheric Optics SB RAS, Tomsk, Russia
A statistical model of the texture of images of single-layer cloudiness of 16 types and its subtypes constructed based on the 41 distributions is suggested. Methods of Gray-Level Co-occurrences Matrix, Gray-Level Difference Vector, and Sum and Difference Histograms are used to describe the image textures. Distribution laws describing fluctuations of the texture parameters of different cloudiness types are fitted using the Kolmogorov–Smirnov goodness-of-fit criterion. The parameters of these distributions are estimated.
Keywords: статистическая модель, типы облаков, текстура изображений, текстурные признаки, statistical model, cloud types, image texture, texture parameters
Full text