Parameters optimization of the novel probabilistic algorithm for improving spatial resolution of multispectral satellite images

DOI10.1134/S1064230717060053zbMath1391.93295OpenAlexW2784491180MaRDI QIDQ1647424

K. Yu. Gorokhovskiy, K. O. Rakova, Vladimir Yu. Ignatiev, A. B. Murynin

Publication date: 26 June 2018

Published in: Journal of Computer and Systems Sciences International (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s1064230717060053

zbMATH Keywords

probabilistic methodspatial resolutionvaluation metricsmultispectral satellite images

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Stochastic programming (90C15) Optimal stochastic control (93E20) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

• The use of the neural network model of pilot control actions for their individually-adapted support
• The use of projective morphologies for object detection and identification in images
• Methods for improving image quality using spatial spectral analysis

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