Restoration of the Lost Map Area of the Underlying Image Surface Using the Reconstruction Method
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 o...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2019-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2019/29/epjconf_mnps2018_04003.pdf |
| _version_ | 1818923605266792448 |
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| author | Ibadov Ragim Fedosov Valentine Ibadov Samir Gapon Nikolay Sizyakin Roman |
| author_facet | Ibadov Ragim Fedosov Valentine Ibadov Samir Gapon Nikolay Sizyakin Roman |
| author_sort | Ibadov Ragim |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-20T02:12:05Z |
| format | Article |
| id | doaj.art-3f1c3e12626e4bd5b172d69ea71287a9 |
| institution | Directory Open Access Journal |
| issn | 2100-014X |
| language | English |
| last_indexed | 2024-12-20T02:12:05Z |
| publishDate | 2019-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj.art-3f1c3e12626e4bd5b172d69ea71287a92022-12-21T19:57:02ZengEDP SciencesEPJ Web of Conferences2100-014X2019-01-012240400310.1051/epjconf/201922404003epjconf_mnps2018_04003Restoration of the Lost Map Area of the Underlying Image Surface Using the Reconstruction MethodIbadov Ragim0Fedosov Valentine1Ibadov Samir2Gapon Nikolay3Sizyakin Roman4South Federal University, Institute of Radio Systems and ControlSouth Federal University, Institute of Radio Systems and ControlDon State Technical University, Institute of Service and EntrepreneurshipDon State Technical UniversityDepartment Telecommunications and Information Processing, Ghent UniversityThe 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.https://www.epj-conferences.org/articles/epjconf/pdf/2019/29/epjconf_mnps2018_04003.pdf |
| spellingShingle | Ibadov Ragim Fedosov Valentine Ibadov Samir Gapon Nikolay Sizyakin Roman Restoration of the Lost Map Area of the Underlying Image Surface Using the Reconstruction Method EPJ Web of Conferences |
| title | Restoration of the Lost Map Area of the Underlying Image Surface Using the Reconstruction Method |
| title_full | Restoration of the Lost Map Area of the Underlying Image Surface Using the Reconstruction Method |
| title_fullStr | Restoration of the Lost Map Area of the Underlying Image Surface Using the Reconstruction Method |
| title_full_unstemmed | Restoration of the Lost Map Area of the Underlying Image Surface Using the Reconstruction Method |
| title_short | Restoration of the Lost Map Area of the Underlying Image Surface Using the Reconstruction Method |
| title_sort | restoration of the lost map area of the underlying image surface using the reconstruction method |
| url | https://www.epj-conferences.org/articles/epjconf/pdf/2019/29/epjconf_mnps2018_04003.pdf |
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