E3S Web Conf.
Volume 75, 2019Regional Problems of Earth Remote Sensing (RPERS 2018)
|Number of page(s)||6|
|Section||Methods and Algorithms for Image Processing|
|Published online||14 January 2019|
NON-PARAMETRIC APPROACH FOR PRELIMINARY PROCESSING OF EARTH REMOTE SENSING DATA
SibFU Institute of Space and Information Technologies, Siberian Federal University, 660074 Krasnoyarsk, Russian Federation
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.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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