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Article information
2024 , Volume 29, ¹ 1, p.86-92
Kalayda V.T., Shaposhnikov A.I.
The modification of algorithms for the estimation of the fractal dimension for clouds images
The research addresses the development of methodology for estimating the fractal dimension of cloud formations. Images of the Earth’s cloud cover contain superimposed and partially overlapped different types of cloud cover. Taking into account that each type of cloudiness has different values of coefficients for radiation attenuation, the problem of separating cloud types is the most important when assessing the radiation balance. The most important feature used in the classification of cloudiness is the fractal dimension. At the same time, the estimates obtained by using “modern” methods and algorithms for estimating the fractal dimension significantly depend on the “positioning” of the object. The paper proposes an effective (in terms of accuracy) method for estimating the fractal dimension, which is invariant with respect to the “positioning” of an object.
[link to elibrary.ru]
Keywords: box counting, cloud, fractal dimension, estimate, error
doi: 10.25743/ICT.2024.29.1.008
Author(s):
Kalayda Vladimir Timofeevich
Dr. , Professor
Position: Professor
Office: National Research Tomsk State University
Address: 634050, Russia, Tomsk, 36 Lenin Aven.
Phone Office: (3822)492242
E-mail: kalaida49@mail.ru
SPIN-code: 8384-7021Shaposhnikov Albert Igorevich
PhD. , Associate Professor
Position: Associate Professor
Office: National Research Tomsk State University
Address: 634050, Russia, Tomsk, 36 Lenin Aven.
Phone Office: (3822)492242
E-mail: albertelena@mail.ru
SPIN-code: 6501-4685 References:
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Bibliography link:
Kalayda V.T., Shaposhnikov A.I. The modification of algorithms for the estimation of the fractal dimension for clouds images // Computational technologies. 2024. V. 29. ¹ 1. P. 86-92
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