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Estimation of the informative content of histograms of satellite images in the recognition of changes in local objects

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Abstract

In this article the representations of the informative content of histograms of the distribution of the brightness of images on sites of distance sensing of Earth are refined, the forms of the manifestation of the content considered when the external appearance of interesting local objects change are analyzed, the estimations of the essential properties of their states available on histograms are ascertained, and based on the modeling and processing of experimental data of satellite filming the relevant features and capabilities are demonstrated.

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Correspondence to L. A. Belozerskii.

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Leonid Anatol’evich Belozerskii, born 1936. In 1958, Leonid Anatol’evich graduated from the Military Academy in Kiev. In 1969, he defended his Ph.D. thesis. He works as a senior researcher in the United Institute of Informatics Problems of the National Academy of Sciences of Belarus. He is a member of the editorial board of the journal “Artificial Intelligence,” Ukraine. Terms of scientific interests: the theory of pattern recognition; simulation modeling; processing satellite imagery. Number of publications: 140 articles, 1 monograph.

Larisa Vladislavovna Oreshkina, born 1964. In 1986, Larisa Vladislavovna graduated from the Belorussian Polytechnic Institute, specializing in “Robots and Robotic Systems.” She worked as a researcher in the United Institute of Informatics Problems of the National Academy of Sciences of Belarus. Terms of scientific interests: geographic information systems; processing of multispectral satellite imagery. Number of publications: more than 30.

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Belozerskii, L.A., Oreshkina, L.V. Estimation of the informative content of histograms of satellite images in the recognition of changes in local objects. Pattern Recognit. Image Anal. 20, 65–72 (2010). https://doi.org/10.1134/S1054661810010062

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