| Issue |
E3S Web Conf.
Volume 75, 2019
Regional Problems of Earth Remote Sensing (RPERS 2018)
|
|
|---|---|---|
| Article Number | 01005 | |
| Number of page(s) | 4 | |
| Section | Methods and Algorithms for Image Processing | |
| DOI | https://doi.org/10.1051/e3sconf/20197501005 | |
| Published online | 14 January 2019 | |
Multi-version approach to improve the reliability of processing data of the earth remote sensing in the real-time
1
Reshetnev Siberian State University of Science and Technology 31, Krasnoyarsky Rabochy Av., Russia, 660037
2
Federal State Autonomous Educational Institution of Higher Education Siberian Federal University, 79, Svobodny Pr., Krasnoyarsk, Russia, 660041
The article describes the use of a multi-version approach to improve the accuracy of the classification of images when solving the problem of image analysis for Earth remote sensing. The implementation of this approach makes it possible to reduce the classification error and, consequently, to increase the reliability of processing remote sensing data. A practical study was carried out in a multi-version real-time execution environment, which makes it possible to organize image processing on board of an unmanned vehicle. The results confirm the effectiveness of the proposed approach.
© 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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