MULTIDIMENSIONAL STATISTICAL CLASSIFICATION BASED ON COMPOSITIONAL MODEL OF DATA DISTRIBUTION IN CASE UNDERFLOODING MONITORING

Authors

  • M. ZHUKOV
  • A. TISHAIEVA

Abstract

This article is considered with outcome of experiments of remote sensing data interpretation. It is suggested new "compositional model" for describing statistical distribution data. This method was trained for estimation its efficiency. Results show reliable level of interpretation data. Therefore this approach has perspective to use in underflooding monitoring. 

References

Жуков М. Н. Математична статистика та обробка геологічних даних: підручник. – К., 2008.

Жуков Н. Н. Вероятностно-статистические методы анализа геолого-геофизической информации. – К., 1975.

Р. Дуда, П. Харт. Распознавание образов и анализ сцен. – М., 1976.

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Published

2025-03-25

Issue

No. 50 (2010): Visnyk of Taras Shevchenko National University of Kyiv. Geology

Section

Articles

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Copyright (c) 2024 Visnyk of Taras Shevchenko National University of Kyiv. Geology

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How to Cite

ZHUKOV, M., & TISHAIEVA, A. (2025). MULTIDIMENSIONAL STATISTICAL CLASSIFICATION BASED ON COMPOSITIONAL MODEL OF DATA DISTRIBUTION IN CASE UNDERFLOODING MONITORING. Visnyk of Taras Shevchenko National University of Kyiv. Geology, 50, 34-36. https://geology.bulletin.knu.ua/article/view/2219