Zobrazeno 1 - 10
of 52
pro vyhledávání: '"V. Korniy"'
Publikováno v:
Information extraction and processing. 2020:72-78
The paper is devoted to the development of the methods for segmentation of images of atmospheric clouds, which are obtained by remote sensing methods using aircraft or satellite onboard systems. The proposed approach is some extent further improvemen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c438d626f720b0922f4bd3484fff65f
https://doi.org/10.15407/vidbir2020.48.072
https://doi.org/10.15407/vidbir2020.48.072
Publikováno v:
2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET).
A new method for identifying pixels as "corrupted" by noise is proposed in this paper for effectively denoising corrupted images. Unlike conventional filtration approaches that apply the filtration operation to each pixel unconditionally or by implem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4b09c0eef0792e729eb6b3f62643142
https://doi.org/10.1109/tcset49122.2020.235481
https://doi.org/10.1109/tcset49122.2020.235481
Publikováno v:
Information extraction and processing. 2017:90-95
Texture features are widely used in remote sensing image classification. In most cases they are extracted from grayscale images without taking color information into consideration. The texture descriptors, which consist of characteristics of random p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3eacb31848b933f53592ada071c79235
https://doi.org/10.15407/vidbir2017.45.090
https://doi.org/10.15407/vidbir2017.45.090
Publikováno v:
2019 XIth International Scientific and Practical Conference on Electronics and Information Technologies (ELIT).
As a result of the work, the main segmentation methods were analyzed when applied to images of atmospheric clouds obtained by remote sensing methods. It is proposed the approach which is a further development of the deep learning model based on CNN c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d409198018372db2c4921e6b0f955ddf
https://doi.org/10.1109/elit.2019.8892285
https://doi.org/10.1109/elit.2019.8892285
Publikováno v:
2018 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET).
Forecasting of clouds is not a new task, but its relevance is increasing every year. The work proposes new algorithm for segmentation of cloud images. The analysis of proposed approaches for the cloudiness segmentation problem is carried out. The adv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d76711f630f9873711c0e539cd5c5bab
https://doi.org/10.1109/tcset.2018.8336189
https://doi.org/10.1109/tcset.2018.8336189
Publikováno v:
Cybernetics and Systems Analysis. 51:704-713
A new approach to the segmentation of an image is proposed on the basis of modeling the spatial distribution of points in the image plane and their ability to identify clusters. Based on detected histogram peaks, a sequence of dominant brightness val
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44335809edf8f23545fec42d7a0eb261
https://doi.org/10.1007/s10559-015-9762-5
https://doi.org/10.1007/s10559-015-9762-5
Publikováno v:
2007 9th International Conference - The Experience of Designing and Applications of CAD Systems in Microelectronics.
Kohonen neural network disadvantages for image compression are analyzed. A neural core method for Kohonen network learning is proposed. The efficiency of neural core entropy method for Kohonen network learning is shown.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6a187b05a91c1743cfbb1f4245d593d
https://doi.org/10.1109/cadsm.2007.4297616
https://doi.org/10.1109/cadsm.2007.4297616
Publikováno v:
2006 International Conference - Modern Problems of Radio Engineering, Telecommunications, and Computer Science.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c8120f03f31da2ac8d4d37b83495b74
https://doi.org/10.1109/tcset.2006.4404511
https://doi.org/10.1109/tcset.2006.4404511
Autor:
Danyliak, М.-О. М.1 (AUTHOR), Rizun, Yu. Ya.1 (AUTHOR) maksishkoy@gmail.com
Publikováno v:
Materials Science. Jul2022, Vol. 58 Issue 1, p47-53. 7p.
Autor:
Korniy, S. А.1 (AUTHOR) kornii@ipm.lviv.ua
Publikováno v:
Materials Science. Jul2022, Vol. 58 Issue 1, p12-19. 8p.