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ISSN: 1023-5086

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ISSN: 1023-5086

Scientific and technical

Opticheskii Zhurnal

A full-text English translation of the journal is published by Optica Publishing Group under the title “Journal of Optical Technology”

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УДК: 528.8.041.5, 528.854.2

Analysis of seasonal variations of the spectral characteristics of landscape components, using the data of the Hyperion space video spectrometer

For Russian citation (Opticheskii Zhurnal):

Григорьев А.Н., Шилин Б.В. Анализ сезонных изменений спектральных характеристик компонентов ландшафта по данным космического видеоспектрометра Hyperion // Оптический журнал. 2013. Т. 80. № 6. С. 43–47.

 

Grigoriev A.N., Shilin B.V. Analysis of seasonal variations of the spectral characteristics of landscape components, using the data of the Hyperion space video spectrometer [in Russian] // Opticheskii Zhurnal. 2013. V. 80. № 6. P. 43–47.

For citation (Journal of Optical Technology):

A. N. Grigor’ev and B. V. Shilin, "Analysis of seasonal variations of the spectral characteristics of landscape components, using the data of the Hyperion space video spectrometer," Journal of Optical Technology. 80(6), 360-362 (2013). https://doi.org/10.1364/JOT.80.000360

Abstract:

This paper discusses aspects of obtaining and processing time-varying video-spectral data recorded by space-based optoelectronic remote-probing facilities. The results are presented of an analysis of seasonal changes of the spectral properties of objects of the underlying surface, obtained on the basis of a time series of the data of the Hyperion space-based video spectrometer.

Keywords:

video spectrometry, spectral property, time-varying data analysis, measurement results processing, video spectrometer-hyperspectrometer

OCIS codes: 100.4145, 300.6170, 110.4234, 280.4788

References:

1. A. V. Markov and B. V. Shilin, “Problems of developing videospectral aerial recording,” Opt. Zh. 76, No. 2, 20 (2009) [J. Opt. Technol. 76, 69 (2009)].
2. F. D. Van Der Meer and S. M. De Long, Imaging Spectrometry. Basic Principles and Prospective Applications (Springer, New York, 2006).
3. R. A. Shovengerdt, Remote Probing. Models and Methods of Image Processing (Tekhnosfera, Moscow, 2010).
4. A. N. Grigor’ev, “A method of reducing the selectivity of the hyperspectral data of remote probing of the earth,” in Collection of the Papers of the Fifth All-Russia Scientific–Engineering Conference on Crucial Problems of Rocket–Space Instrumentation and Information Technologies (OAO Ross. Kosm. Sistemy, Moscow, 2012).
5. A. I. Altukhov, A. N. Grigor’ev, N. V. Gnusarev, and E. V. Kozin, Space-Based Systems for the Remote Probing of the Earth. Data Processing (VKA im. A. F. Mozhaı˘skogo, St. Petersburg, 2011).
6. M. A. Faddeev, Elementary Processing of Experimental Results (Izd. Nizhegorod. Gosuniv., Nizhniı˘ Novgorod, 2002).
7. P. Kronberg, Remote Probing of the Earth (Mir, Moscow, 1988).
8. L. I. Chapurskiı˘, Reflective Properties of Natural Objects in the 400–2500 nm Range (MO SSSR, Moscow, 1986).