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

A probabilistic method for improving the spatial resolution of multispectral space images using a reference image is proposed. The developed method calculates the mathematical expectation of pixel brightness in different channels of an improved multispectral image based on the probabilistic characte...

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Vydáno v:Journal of computer & systems sciences international Ročník 56; číslo 6; s. 1008 - 1020
Hlavní autoři: Gorokhovskiy, K. Yu, Ignatiev, V. Yu, Murynin, A. B., Rakova, K. O.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Moscow Pleiades Publishing 01.11.2017
Springer Nature B.V
Témata:
Brightness
Control
Engineering
Mechatronics
Optimization
Pattern Recognition and Image Processing
Pixels
Probabilistic methods
Quality assessment
Robotics
Satellite imagery
Satellites
Spatial resolution
Test procedures
ISSN:1064-2307, 1555-6530
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Shrnutí:A probabilistic method for improving the spatial resolution of multispectral space images using a reference image is proposed. The developed method calculates the mathematical expectation of pixel brightness in different channels of an improved multispectral image based on the probabilistic characteristics of the pixel neighborhood on the multispectral image and the overall brightness intensity of the panchromatic image at that point. The applicability of different metrics for evaluating the quality of the spatial resolution of satellite images is analyzed. A set of the most adequate quality evaluation metrics is used. An optimization procedure is developed to adjust the parameters of the proposed probabilistic resolution improvement method. The results of testing the method on the multi-spectral images obtained from different satellites in different spatial resolutions are presented. The efficiency of the algorithm is tested at different magnification scales. A comparative analysis of the results of the proposed method with similar approaches is conducted.
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ISSN:1064-2307
1555-6530
DOI:10.1134/S1064230717060053