Superresolution in problems of remote sensing
The analytical and numerical results of the development of new methods for obtaining the angular superresolution using partially known information about the source of signals are presented. Created high-speed algorithms allow you to use them in real time. The stability of the solutions obtained ensu...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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EDP Sciences
2019-01-01
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Series: | ITM Web of Conferences |
Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2019/07/itmconf_crimico2019_15016.pdf |
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author | Lagovsky Boris Samokhin Alexander Tripathy Malay |
author_facet | Lagovsky Boris Samokhin Alexander Tripathy Malay |
author_sort | Lagovsky Boris |
collection | DOAJ |
description | The analytical and numerical results of the development of new methods for obtaining the angular superresolution using partially known information about the source of signals are presented. Created high-speed algorithms allow you to use them in real time. The stability of the solutions obtained ensures adequate restoration of the radio images of objects. The noise immunity of the solutions obtained is higher than that of the known methods. |
first_indexed | 2024-12-17T00:19:25Z |
format | Article |
id | doaj.art-cad8ed4fb1b9499280cb7407cdaaf2c6 |
institution | Directory Open Access Journal |
issn | 2271-2097 |
language | English |
last_indexed | 2024-12-17T00:19:25Z |
publishDate | 2019-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | ITM Web of Conferences |
spelling | doaj.art-cad8ed4fb1b9499280cb7407cdaaf2c62022-12-21T22:10:36ZengEDP SciencesITM Web of Conferences2271-20972019-01-01301501610.1051/itmconf/20193015016itmconf_crimico2019_15016Superresolution in problems of remote sensingLagovsky Boris0Samokhin Alexander1Tripathy Malay2Russian Technological University (MIREA)Russian Technological University (MIREA)Amity UniversityThe analytical and numerical results of the development of new methods for obtaining the angular superresolution using partially known information about the source of signals are presented. Created high-speed algorithms allow you to use them in real time. The stability of the solutions obtained ensures adequate restoration of the radio images of objects. The noise immunity of the solutions obtained is higher than that of the known methods.https://www.itm-conferences.org/articles/itmconf/pdf/2019/07/itmconf_crimico2019_15016.pdf |
spellingShingle | Lagovsky Boris Samokhin Alexander Tripathy Malay Superresolution in problems of remote sensing ITM Web of Conferences |
title | Superresolution in problems of remote sensing |
title_full | Superresolution in problems of remote sensing |
title_fullStr | Superresolution in problems of remote sensing |
title_full_unstemmed | Superresolution in problems of remote sensing |
title_short | Superresolution in problems of remote sensing |
title_sort | superresolution in problems of remote sensing |
url | https://www.itm-conferences.org/articles/itmconf/pdf/2019/07/itmconf_crimico2019_15016.pdf |
work_keys_str_mv | AT lagovskyboris superresolutioninproblemsofremotesensing AT samokhinalexander superresolutioninproblemsofremotesensing AT tripathymalay superresolutioninproblemsofremotesensing |