Tishaieva A. Estimation owerwetting situation on basis of compositional model data distribution by means of remote sensing (South Ukrainian case study)

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0411U004870

Thesis Registration Form

0411U004870.pdf

Applicant for

Specialization

  • 04.00.05 - Геологічна інформатика

17-10-2011

Specialized Academic Board

Д 26.001.42

Taras Shevchenko National University of Kyiv

Essay

It is proposed nonparametric modification of classical Bayes method, which based on compositional model data distribution instead of parametrical model. At the thesis is made a comparison of parametric and nonparametric Bayesian approaches using real data. Thereby, usage technology nonparametric Bayesian approach based on compositional model data distribution allowed getting more reliable results of classification in case overwetted soil. It is shown increasing performance of the training by 40%. It is made conclusions about wide vistas in utilization Bayesian approach allied with compositional model in in solving problem classification remote sensing data and other geological data.

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Files

aref.pdf

dis1.pdf

dis2.pdf

dis3.pdf

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