NON-PARAMETRIC APPROACH FOR PRELIMINARY PROCESSING OF EARTH REMOTE SENSING DATA
| Autor: | A Chzhan Ekaterina, A Denisov Maksim, A Korneeva Anna |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
lcsh:GE1-350
Geographic information system Computer science business.industry 0211 other engineering and technologies Nonparametric statistics Sample (statistics) 02 engineering and technology 010501 environmental sciences Earth remote sensing computer.software_genre 01 natural sciences Remote sensing (archaeology) Outlier 021108 energy Data mining Data pre-processing business computer Energy (signal processing) lcsh:Environmental sciences 0105 earth and related environmental sciences |
| Zdroj: | E3S Web of Conferences, Vol 75, p 01015 (2019) |
| ISSN: | 2267-1242 |
| Popis: | Researches described in the paper are aimed at studying the methods of data preprocessing from a sample of observations of a system characterized by input-output values of variables. We consider the data containing omissions and outliers. Algorithms for leveling outliers in a sample of observations, as well as algorithms for filling data gaps are presented. In addition, it is implemented a data repair algorithm that is able to recover lost values (outliers) after their exclusion. Our studies are useful in geographic information systems or in the analysis of information received from satellites during remote sensing of the earth. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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