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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, 2022, Vol. 19, No. 6, pp. 18-28

Classification of SAR images of Arctic ice fields based on the use of multifractal features

D.V. Uchaev 1 , Dm.V. Uchaev 1 , V.A. Malinnikov 1 
1 Moscow State University of Geodesy and Cartography, Moscow, Russia
Accepted: 22.11.2022
DOI: 10.21046/2070-7401-2022-19-6-18-28
The article presents a method for multifractal classification of radar images of Arctic ice fields obtained using synthetic aperture radars (SAR). This method is aimed at distinguishing areas of ice fields in SAR images, characterized by different values of sea ice concentration. The method is based on the fact that Arctic ice cover has a complex hierarchical (multifractal) structure, which can vary significantly depending on the regional and seasonal features of the ice regime, as well as the dynamics of atmospheric and oceanic processes. The main steps of the proposed method for classifying SAR images of ice fields are as follows: preliminary processing of SAR images, forming a multiband image of multifractal features, classification of the formed multifractal feature vectors using a classifier based on random multigraphs. Experimental verification of the proposed method for classifying SAR images was carried out on more than 50 regions of SAR images of ice-covered sea areas of the Arctic, obtained from Sentinel-1 in the summer season. The verification results show that the proposed method for multifractal classification of SAR images allows using relatively small training samples and at the same time achieves sufficiently high values of overall and average classification accuracy.
Keywords: Arctic seas, ice cover, sea ice concentration, SAR image, multifractal classification
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