Formation the texture features vector using the energy approach

Victor P. Galileiskii; Alexey I. Elizarov; Dmitrii V. Kokarev; Aleksandr M. Morozov

doi:10.1117/12.2502772

13 December 2018 Formation the texture features vector using the energy approach

Victor P. Galileiskii, Alexey I. Elizarov, Dmitrii V. Kokarev, Aleksandr M. Morozov

Proceedings Volume 10833, 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 1083310 (2018) https://doi.org/10.1117/12.2502772
Event: XXIV International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, 2018, Tomsk, Russian Federation

Abstract

The application of cluster analysis in the problem of classification of data obtained from remote sensing of the Earth is considered. A method for searching for image local features using masks Laws, and the formation of a vector of texture features is considered.

Citation Download Citation

Victor P. Galileiskii, Alexey I. Elizarov, Dmitrii V. Kokarev, and Aleksandr M. Morozov "Formation the texture features vector using the energy approach", Proc. SPIE 10833, 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 1083310 (13 December 2018); https://doi.org/10.1117/12.2502772

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