Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Rostyslav Kosarevych"'
Autor:
Bohdan Rusyn, Oleksiy Lutsyk, Rostyslav Kosarevych, Oleg Kapshii, Oleksandr Karpin, Taras Maksymyuk, Juraj Gazda
Publikováno v:
IEEE Access, Vol 12, Pp 137427-137438 (2024)
The informativeness of data has always been of great interest within the machine learning community. Nowadays, with the skyrocketing advancement of artificial intelligence and massive volumes of noisy data, it becomes even more essential to develop r
Externí odkaz:
https://doaj.org/article/6df63f62e3a44b39b99eb41902e137a8
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract In this paper, we propose a solution to resolve the limitation of deep CNN models in real-time applications. The proposed approach uses multi-threshold binarization over the whole multi-spectral remote sensing image to extract the vector of
Externí odkaz:
https://doaj.org/article/ad5d71dc437a490d9bbab4a1e6f61c5b
Autor:
Rostyslav Kosarevych, Oleksiy Lutsyk, Bohdan Rusyn, Olga Alokhina, Taras Maksymyuk, Juraj Gazda
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Continuous technological growth and the corresponding environmental implications are triggering the enhancement of advanced environmental monitoring solutions, such as remote sensing. In this paper, we propose a new method for the spatial po
Externí odkaz:
https://doaj.org/article/888e2cec0ec5410cbb911d49e70c7de2
Autor:
Rostyslav Kosarevych, Izabela Jonek-Kowalska, Bohdan Rusyn, Anatoliy Sachenko, Oleksiy Lutsyk
Publikováno v:
Remote Sensing, Vol 15, Iss 16, p 3941 (2023)
The application of a process model to investigate pine tree infestation caused by bark beetles is discussed. The analysis of this disease was carried out using spatial and spatio−temporal models of random point patterns. Spatial point patterns were
Externí odkaz:
https://doaj.org/article/42327ab35a7a4551b7344f9a33ded27a
Publikováno v:
The Visual Computer. 38:3719-3730
This paper presents a novel method for the detection of binary- and random-valued impulsive noise in contaminated images. The noise detector has been developed to classify the certain intensity image pixels as corrupted or uncorrupted based on their
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3c9bd50fe9f06c5a0af7324d8c39946
https://doi.org/10.1007/s00371-021-02207-1
https://doi.org/10.1007/s00371-021-02207-1
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9783030924331
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc37dcee43a6e193857df1dd6779376a
https://doi.org/10.1007/978-3-030-92435-5_28
https://doi.org/10.1007/978-3-030-92435-5_28
Publikováno v:
2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97717282dca0d6eacad88d350ae36a0b
https://doi.org/10.1109/aict52120.2021.9628990
https://doi.org/10.1109/aict52120.2021.9628990
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 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT).
One of the main tasks of the remote sensing images classification is the formation of a system of features. We present descriptors, of image texture which consist of characteristics of random point fields formed for pixels of distinct brightness. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbcdaffd67e764464669f3cdc421fd79
https://doi.org/10.1109/stc-csit.2018.8526678
https://doi.org/10.1109/stc-csit.2018.8526678
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