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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, 2011, Vol. 8, No. 1, pp. 65-72

Classification of clouds in satellite images based on the technology of neural networks

V.G. Astafurov1, А.V. Skorokhodov2
1 V. E. Zuev Institute of Atmospheric Optics SB RAS Tomsk State University of Control Systems and Radioelectronics, 1, Academician Zuev Sq., Tomsk 634021 40, Lenin Ave., Tomsk 634050
2 V. E. Zuev Institute of Atmospheric Optics SB RAS, 1, Academician Zuev Sq., Tomsk 634021
For segmentation of cloud fields in satellite images and classification of clouds by types, it is suggested to use algorithms based on neural networks. For a description of clouds, information on their characteristic texture parameters is used. Problems of choice of the neural network architecture and its influence on the quality of image processing are discussed. Results of classification of clouds in satellite images recorded by the MODIS spectral radiometer are presented. The results obtained illustrate the efficiency of the suggested approach.
Keywords: cloud types, texture parameters, classification, segmentation, neural network
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