Integrating remote sensing data and ground information for solving natural resource and environmental problems

Author:

Khyzhniak A.V., ,Fedorovskyi O.D.,

Publisher

National Academy of Sciences of Ukraine (Co. LTD Ukrinformnauka)

Subject

Anesthesiology and Pain Medicine

Reference13 articles.

1. Heuristic criterion for class recognition by spectral brightness;Arkhipov;Cybernetics and Systems Analysis,2018

2. Algorithms for semantic segmentation of multispectral remote sensing imagery using deep learning;Kemker;ISPRS J Photogramm Remote Sens,2018

3. 3. Knopov P. S., Kasitskaya E. J. (2002). Empirical estimates in stochastic optimization and identification. New York: Kluwer Acad. Publ.

4. 4. Kolmogorov A. N. (2005). Selected Works. Vol. 2. Probability theory and mathematical statistics. Moscow: Mat. Institute named after V. A. Steklova RAS. Science, 584 р. [in Russian].

5. 5. Lyalko V. I., Fedorovsky O. D., Popov M. O., et al. (2004). Using satellite data to study natural resource issues. Space Research in Ukraine. 2002-2004. Kyiv, 7-14 [in Russian].

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