| Issue |
EPJ Web Conf.
Volume 224, 2019
IV International Conference “Modeling of Nonlinear Processes and Systems” (MNPS-2019)
|
|
|---|---|---|
| Article Number | 04003 | |
| Number of page(s) | 5 | |
| Section | Machine Learning, Artificial Intelligence and High-Performance Computing | |
| DOI | https://doi.org/10.1051/epjconf/201922404003 | |
| Published online | 09 December 2019 | |
https://doi.org/10.1051/epjconf/201922404003
Restoration of the Lost Map Area of the Underlying Image Surface Using the Reconstruction Method
1
South Federal University, Institute of Radio Systems and Control, RU-347928, Taganrog, Rostov region, Russia
2
Don State Technical University, Institute of Service and Entrepreneurship, RU-346500, Shakhty, Rostov region, Russia
3
Don State Technical University, RU-344000, Rostov-on-Don, Russia
4
Department Telecommunications and Information Processing, Ghent University, B-9000, Ghent, Belgium
* e-mail: ragim_ibadov@mail.ru
Published online: 9 December 2019
The article presents a method for recovering lost sections of the map of the underlying surface. We consider spatial autocorrelation as image pre-processing for its subsequent analysis when restoring a part of the map in the direction of the radar carrier course. An algorithm for recovering images of lost areas has been proposed and a software implementing the algorithm has been developed. The efficiency of the developed algorithm has been evaluated on a test set of images using a statistical criterion.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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