Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Anna Denisova"'
Autor:
Aleksandr Belov, Anna Denisova
Publikováno v:
Компьютерная оптика, Vol 43, Iss 5, Pp 869-885 (2019)
Multitemporal remote sensing images of a particular territory might include accidental scene distortions. Scene distortion is a significant local brightness change caused by the scene overlap with some opaque object or a natural phenomenon coincident
Externí odkaz:
https://doaj.org/article/7196e165c05d499b8057fadd756648da
Publikováno v:
Компьютерная оптика, Vol 43, Iss 5, Pp 846-856 (2019)
We discuss requirements for the multispectral remote sensing (RS) data utilized in the author's technique for estimating plant species concentration to detect arable land colonization by tree and shrubbery vegetation. The study is carried out using a
Externí odkaz:
https://doaj.org/article/78a6facd79eb43bfa10ab80242914e00
Publikováno v:
Компьютерная оптика, Vol 42, Iss 5, Pp 864-876 (2018)
In this paper, we propose an earth remote sensing data processing technology for obtaining vegetation types maps. The technology includes the following steps: obtaining superpixel representation of an image, calculating superpixel features, K-Means c
Externí odkaz:
https://doaj.org/article/9302be1b79154dcb8204fd81969090dd
Autor:
Aleksandr Belov, Anna Denisova
Publikováno v:
Компьютерная оптика, Vol 42, Iss 5, Pp 855-863 (2018)
In the article we propose a spatial and spectral super-resolution algorithm for a set of multichannel images obtained by various Earth remote sensing detectors. We regard the result of the algorithm as a model of an ideal data source, which has a bet
Externí odkaz:
https://doaj.org/article/d26d3961345a4fe7afd543574b3d26ec
Autor:
Anna Denisova
Publikováno v:
Vestnik Universiteta. 1:90-97
The article shows the need to develop methods for quantifying the associated internal risks of planning and implementing government programs. The author demonstrates an approach to assessing the risk magnitude of programs by analyzing the ranges of s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bab6c1d5fc2c5fce1c57921acddbf1d
https://doi.org/10.26425/1816-4277-2022-7-90-97
https://doi.org/10.26425/1816-4277-2022-7-90-97
Autor:
Anna Denisova
Publikováno v:
2023 11th International Symposium on Digital Forensics and Security (ISDFS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79a85c2929c5dd587bdbbb6e73ca35ed
https://doi.org/10.1109/isdfs58141.2023.10131753
https://doi.org/10.1109/isdfs58141.2023.10131753
Autor:
Anna Denisova
Publikováno v:
Computer Optics. 46
The article proposes a feature system designed to detect presentation attacks on facial authentication systems. In this type of attack, an attacker disguises as an authorized user using his image. The feature system assumes the possibility of using o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bedd4b7df006083c8a4d9928d9f77850
https://doi.org/10.18287/2412-6179-co-1054
https://doi.org/10.18287/2412-6179-co-1054
Autor:
Anna Denisova
Publikováno v:
CSRN.
Presentation attacks are weak points of facial biometrical authentication systems. Although several presentation attack detection methods were developed, the best of them require a sufficient amount of training data and rely on computationally intens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41b71bca4c06b6d66485a344806a65a6
https://doi.org/10.24132/csrn.3201.3
https://doi.org/10.24132/csrn.3201.3
Autor:
Victor Fedoseev, Anna Denisova
Publikováno v:
Proceedings of the 2nd International Conference on Image Processing and Vision Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9910a9faae3fd19ee2b66671ed10a856
https://doi.org/10.5220/0011067200003209
https://doi.org/10.5220/0011067200003209
Autor:
Anna Denisova, Andrey Chernov
Publikováno v:
2021 International Conference on Information Technology and Nanotechnology (ITNT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::520ac587cd4406ef8b7b653438d6cad2
https://doi.org/10.1109/itnt52450.2021.9649311
https://doi.org/10.1109/itnt52450.2021.9649311