Zobrazeno 1 - 10
of 43
pro vyhledávání: '"V. V. Sergeyev"'
Publikováno v:
Optoelectronics, Instrumentation and Data Processing. 58:431-439
Autor:
V. V. Sergeyev, Aleksey Maksimov
Publikováno v:
Компьютерная оптика, Vol 45, Iss 5, Pp 692-701 (2021)
In this paper, we propose a super-resolution (pixel grid refinement) method for digital images. It is based on the linear filtering of a zero-padded discrete signal. We introduce a continuous-discrete observation model to create a reconstruction syst
Autor:
V. V. Sergeyev, Anna Egorova
Publikováno v:
Компьютерная оптика, Vol 45, Iss 4, Pp 562-574 (2021)
Superpixel-based image processing and analysis methods usually use a small set of superpixel features. Expanding the description of superpixels can improve the quality of processing algorithms. In the paper, a set of 25 basic superpixel features of s
Publikováno v:
Компьютерная оптика, Vol 44, Iss 1, Pp 60-66 (2020)
A technique of early recognition (recovery) of data transmitted using OFDM technology by an incompletely received signal is considered. Theoretically, this approach is able to increase the speed of information transfer, as well as the resistance of t
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
Autor:
Aleksey Maksimov, V. V. Sergeyev
Publikováno v:
2020 International Conference on Information Technology and Nanotechnology (ITNT).
In this paper, we consider the problem of multi-frame super-resolution. We propose an information technology of optimal (in terms of mean square error) multiplexing of video signals. A field of interpolation error dispersions is formed for each previ
Publikováno v:
2020 International Conference on Information Technology and Nanotechnology (ITNT).
Examination of actual forest vegetation boundary has great economic importance. A positive examination result can serve as evidence of a violation of the rules for forest utilization. The use of remote sensing (RS) data can reduce the complexity of s
Publikováno v:
Vestnik RFFI. 3:78-96
Autor:
Anna Denisova, V. V. Sergeyev
Publikováno v:
Procedia Engineering. 201:213-222
Multichannel image processing, in particular, supervised classification, requires designing novel time effective algorithms, because in the most of the cases slightly dimension increase leads to significant processing time growth. In this paper we de
Publikováno v:
Seventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2019).