12.
Веселов Ю.Г.
Модель оценки информационных характеристик оптико-
электронных систем дистанционного зондирования Земли // Исследование Зем-
ли из космоса. № 5. 2011. С. 3–10.
13.
Фукунага К.
Введение в статистическую теорию распознавания образов; под
ред. А.А. Дорофеюка. М.: Наука, 1979. 66 с.
14.
Корн Г.
,
Корн Т.
Справочник по математике для научных работников и инжене-
ров. М.: Наука, 1984. 831 с.
REFERENCES
[1] Bukov V.N., Bazanov A.P., Kolodezhnyy L.P.
Teoreticheskie osnovy i sredstva
avtomatizirovannogo kontrolya
[Theoretical bases and automated control means].
Moscow, VVIA im. prof. N.E. Zhukovskogo Publ., 1997. 47 p. (in Russ.).
[2] Fomin Ya.A., Tarlovskii G.R.
Statisticheskaya teoriya raspoznavaniya obrazov
[Statistical theory of pattern recognition]. Moscow, Radio i Svyaz’ Publ., 1986.
262 p.
[3] Fomin Ya.A., Bezrodnyy B.F.
Adaptivnye sistemy kontrolya izdeliy mikroelektroniki
na PEVM
[Adaptive control system of microelectronic products with PC]. Moscow,
Izd. Standartov Publ., 1993. 203 p. (in Russ.).
[4] Gukovskiy Ya.E. About statistical approach to event detection in automatic control.
Avtom. Telemekh.
[Autom. Remote Control], 1964, no. 10, pp. 1851–1855 (in Russ.).
[5] Kneller V.I. On the definition and specificity of the automatic control.
Avtom.
Telemekh.
[Autom. Remote Control], 1962, no. 4, pp. 923–929 (in Russ.).
[6] Standard RF.
GOST 27.002–89. Nadezhnost’ v tekhnike. Osnovnye ponyatiya.
Terminy i opredeleniya
[State Standard 27.002–89. Industrial product dependability.
General concepts. Terms and definitions]. Moscow, Izd. Standartov Publ., 1990. 22 p.
[7] Veselov Yu.G., Tikhonychev V.V., Khaltobin V.M. The study of the characteristics of
digital cameras.
Tekhnika kino i televideniya
[Technology of cinema and television],
2003, no. 6, pp. 39–41 (in Russ.).
[8] Beloglazov I.N. Integrated automatic decoding algorithm and evaluation of
its effectiveness.
Sb. VVIA im. Prof. N.E. Zhukovskogo “Primenenie EVM dlia
avtomatizatsii protsessov sbora i obrabotki informatsii”
[Collect. Pap. Air Force
Engin. Acad. n.a. Prof. N.E. Zhukovskiy “The use of computers for automation of
process of collecting and processing of information”], Moscow, 1984, pp. 29–39 (in
Russ.).
[9] Beloglazov I.N., Kazarin S.N. Joint optimal estimation, identification and testing of
hypotheses in discrete dynamical systems.
Izv. RAN. Teoriya i sistemy upravleniya
[J. Comput. Syst. Sci. Int.], 1998, no. 4, pp. 26–43 (in Russ.).
[10] Veselov Yu.G., Tikhonychev V.V., Trufanov I.V., Khaltobin V.M., Kulabukhov V.S.,
eds. Technical state control of digital aerial cameras based on the theory
of pattern recognition.
Sb. VVIA im. Prof. N.E. Zhukovskogo “Aviatsionnoe
oborudovanie”
[Collect. Pap. Air Force Engin. Acad. n.a. Prof. N.E. Zhukovskiy
“Aircraft equipment”], Moscow, 2004 (in Russ.).
[11] Veselov Yu.G., Tikhonychev V.V., Khaltobin V.M. Technical state control of iconic
optoelectronic devices based on pattern recognition theory.
Sb. VVIA im. Prof.
N.E. Zhukovskogo
[Collect. Pap. Air Force Engin. Acad. n.a. Prof. N.E. Zhukovskiy],
Moscow, 2007, pp. 16–17 (in Russ.).
[12] Veselov Yu.G. Evaluation model of information characteristics for optoelectronic
systems of Earth’s remote sensing.
Issledovanie Zemli iz kosmosa
[Study the Earth
from space], 2011, no. 5, pp. 3–10 (in Russ.).
[13] Fukunaga K. Introduction to statistical pattern recognition. USA, Academic Press,
1972. (Russ. Ed.: Fukunaga K., ed. Dorofeyuk A.A. Vvedenie v statisticheskuyu
teoriyu raspoznavaniya obrazov. Moscow, Nauka Publ., 1979. 368 p.).
ISSN 0236-3933. Вестник МГТУ им. Н.Э. Баумана. Сер. “Приборостроение”. 2014. № 5 113
