Zobrazeno 1 - 10
of 22
pro vyhledávání: '"V. P. Pyatkin"'
Publikováno v:
Optoelectronics, Instrumentation and Data Processing. 54:222-229
This paper describes a PlanetaMonitoring software complex, developed jointly by the Scientific Research Center “Planeta” and the Institute of Computational Mathematics and Mathematical Geophysics of the Siberian Branch of the Russian Academy of S
Autor:
A. V. Kukharsky, V. P. Pyatkin, E. V. Rusin, A. N. Rublev, V. V. Asmus, Yu. M. Timofeyev, D. A. Kozlov, F. S. Zavelevich, A. B. Uspensky, Alexander V. Polyakov, Yu. M. Golovin
Publikováno v:
Izvestiya, Atmospheric and Oceanic Physics. 53:428-432
Preliminary results of a space experiment using the IKFS-2 infrared sounder (Meteor-M2 satellite) showed high-quality of measurements of spectra of the outgoing thermal radiation of the atmosphere–surface system and the adequacy of developed IR rad
Autor:
V. P. Pyatkin, A. A. Buchnev
Publikováno v:
Pattern Recognition and Image Analysis. 24:583-587
In the domain of the geological study of the Earth from space, there is an urgent need to study the fall of celestial bodies to the Earth and to map impact locations in order to protect the Earth from space threats. This paper proposes nonparametric
Autor:
Alexander V. Polyakov, F. S. Zavelevich, D. A. Kozlov, Yana Virolainen, A. N. Rublev, I.A. Kozlov, Y. M. Timofeyev, V. P. Pyatkin, E. V. Rusin, A. V. Kukharsky, J.V. Kiseleva, A. B. Uspensky, A. G. Nikulin
Publikováno v:
Journal of Quantitative Spectroscopy and Radiative Transfer. 238:106579
The first Russian advanced infrared (IR) atmospheric sounder IKFS-2 was launched in July 2014 on the “Meteor-M” No. 2 meteorological satellite. It is planned that this instrument and similar devices will continue to operate until 2025 aboard the
Publikováno v:
Pattern Recognition and Image Analysis. 25:514-516
Methodological and computational aspects of fast radiative transfer model (FRTM) development are discussed. A model for fast and accurate analysis of spectra measured by the IKFS-2 infrared sounder installed on the Meteor-M Russian meteorological sat
Publikováno v:
Pattern Recognition and Image Analysis. 25:220-222
Currently, cloud services of natural resources data centers are on the rise. Industry researchers are primarily interested in the elementary functions of ordering and storing data, binding to geodata, thematic processing, quality control functions, a
Publikováno v:
Pattern Recognition and Image Analysis. 23:474-480
This paper describes software technologies for processing of Earth remote sensing (ERS) data received from latest generation satellites (both foreign and domestic).
Autor:
A. A. Buchnev, V. P. Pyatkin
Publikováno v:
Pattern Recognition and Image Analysis. 22:546-549
A system for classifying satellite data for solving problems of space monitoring of hydrological objects is described. The system involves automatic classification and classification with training algorithms.
Publikováno v:
Pattern Recognition and Image Analysis. 22:1-9
Data obtained by Russian and foreign polar-orbital satellites for remote sensing (RS) of the Earth is used for monitoring the ice cover of the polar regions. State Research Center of Space Hydrometeorology "Planeta" (SRC "Planeta") and the Institute
Autor:
V. P. Pyatkin, G. I. Salov
Publikováno v:
Optoelectronics, Instrumentation and Data Processing. 47:215-219
Application of stochastic approximation in an infinite-dimensional Hilbert space to the problem of object detection on one observed image distorted by noise and to the problem of fast detection of object arrival in a sequence of noisy images is consi