Image Representation and Processing Using Autoregressive Random Fields with Multiple Roots of Characteristic Equations-Reference-Cited by-同舟云学术

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Image Representation and Processing Using Autoregressive Random Fields with Multiple Roots of Characteristic Equations

Published:2019-12-08 Issue: Volume: Page:11-52
ISSN:1868-4394
Container-title:Intelligent Systems Reference Library
language:
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Author:

Vasil’ev Konstantin K.,Andriyanov Nikita A.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-33795-7_2

Reference68 articles.

1. Vasiliev, K.K., Sluzhivny, M.N.: Mathematical modeling of communication systems: tutorial, 2nd edn. UlSTU, Ulyanovsk (2010)

2. Schowengerdt, R.: Remote Sensing: Models and Methods for Image Processing. Elsevier Inc., Amsterdam (2007)

3. Dudgeon, D.E., Mersereau, R.M.: Multidimensional Digital Signal Processing. Prentice-Hall, Inc., Englewood Cliffs (1984)

4. Cuzzocrea, A., Song, I.-Y., Davis, K.C.: Analytics over large-scale multidimensional data: the big data revolution! In: 14th International Workshop on Data, pp. 101–104 (2011)

5. Bondarev, A.E.: The procedures of visual analysis for multidimensional data volumes. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Inform. Sciences, vol. XLII-2/W12, pp. 17–21 (2019)

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