Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Assiya Sarinova"'
Autor:
Assiya Sarinova, Alexandr Neftissov, Leyla Rzayeva, Alimzhan Yessenov, Lalita Kirichenko, Ilyas Kazambayev
Publikováno v:
Scientific Journal of Astana IT University, Pp 96-106 (2024)
Nowadays, the application of hyperspectral images is vital for every section of the humanity life such as agrotechnical research for the field condition state and water security. This article presents a new lossless data compression algorithm focused
Externí odkaz:
https://doaj.org/article/0da1122f969a41649342c6e31f60d84f
Autor:
Assiya Sarinova, Alexandr Neftissov, Leyla Rzayeva, Lalita Kirichenko, Sanzhar Kusdavletov, Ilyas Kazambayev
Publikováno v:
Scientific Journal of Astana IT University, Pp 111-124 (2023)
This paper proposes a preprocessing algorithm for aerospace hyperspectral images based on a mathematical apparatus effectively applied in pre-compression transformation problems. In particular, several methods have been analyzed for hyperspectral ima
Externí odkaz:
https://doaj.org/article/7385f5d32b61450dadd95ac64f39d6b0
Publikováno v:
Dyna, Vol 82, Iss 190, Pp 166-172 (2015)
Este documento se refiere a la compresión de datos hiperespectrales de teleobservación de la tierra mediante la sugerencia de un algoritmo de múltiples etapas para aumentar la relación de compresión, utilizando una formación de datos auxiliares
Externí odkaz:
https://doaj.org/article/bfedfbb723f142b786aacb0f9c320540
Autor:
Alexandr Neftissov, Assiya Sarinova, Ilyas Kazambayev, Lalita Kirichenko, Oleksandr Kuchanskyi, Adil Faizullin
The paper presents the development of a microprocessor-based relay protection device on open architecture. Currently, there is a problem with modern microprocessor relay protection: the impossibility to replace the damaged element with alternatives f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0ab1b233d9a715e52b0c2926e74c44b
https://zenodo.org/record/7908965
https://zenodo.org/record/7908965
Publikováno v:
Trudy Universiteta. :323-327
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d08a012df301f47db8947800db769163
https://doi.org/10.52209/1609_1825_2021_4_323
https://doi.org/10.52209/1609_1825_2021_4_323
Publikováno v:
2022 International Conference on Smart Information Systems and Technologies (SIST).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9de64285e5adc7d510568b4d63d55c0f
https://doi.org/10.1109/sist54437.2022.9945817
https://doi.org/10.1109/sist54437.2022.9945817
Publikováno v:
2022 International Conference on Smart Information Systems and Technologies (SIST).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c0ad2ea287abf2bf352b5733328f600
https://doi.org/10.1109/sist54437.2022.9945821
https://doi.org/10.1109/sist54437.2022.9945821
The work is devoted to the description of the development of compression algorithms for hyperspectral aerospace images based on discrete orthogonal transformations for the purpose of subsequent compression in Earth remote sensing systems. As compress
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52f53ce2ed14273e7f15e28930445497
https://zenodo.org/record/6518915
https://zenodo.org/record/6518915
Autor:
Alexander Zamyatin, Assiya Sarinova
Publikováno v:
E3S Web of Conferences, Vol 223, p 02007 (2020)
The paper describes a method for constructing and developing algorithms for compressing hyperspectral aerospace images (AI) of hardware implementation for subsequent use in remote sensing Systems (RSS). The developed compression methods based on diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d4572922dc6f3eb4b2bd6923f152313
https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/83/e3sconf_rpers20_02007.pdf
https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/83/e3sconf_rpers20_02007.pdf
Autor:
Assiya Sarinova, Alexander Zamyatin
Publikováno v:
E3S Web of Conferences. 2020. Vol. 149 : Regional problems of Earth remote sensing (RPERS 2019), Krasnoyarsk City, Russia, September 10-13, 2019. P. 02003 (1-7)
E3S Web of Conferences, Vol 149, p 02003 (2020)
E3S Web of Conferences, Vol 149, p 02003 (2020)
In this work, we propose an algorithm for compressing lossless hyperspectral aerospace images, which is characterized by the use of a channel-difference linear regression transformation, which significantly reduces the range of data changes and incre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f186bb5fc79d5304bd2aa0fc8386886
http://vital.lib.tsu.ru/vital/access/manager/Repository/vtls:000795567
http://vital.lib.tsu.ru/vital/access/manager/Repository/vtls:000795567