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Planetamonitoring Software Complex in Applied Remote Sensing Problems

  • Analysis and Synthesis of Signals and Images
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Optoelectronics, Instrumentation and Data Processing Aims and scope

Abstract

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 Sciences, which implements the software for pre-processing and thematic processing of multispectral satellite images of optical, infrared, and microwave ranges. This work also touches upon the pre-processing of satellite data, particularly brightness and geometric transformations, geocoding, and compilation of survey installation. Thematic processing of multispectral satellite images by software for object recognition (without and with training), detection and mapping of lineaments and circular structures, as well as determination of spatial displacements of natural objects (ice fields, water masses, and cloud formations in the atmosphere) over time-different satellite images is described. This software is used to solve a number of applied problems of Earth remote sensing.

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References

  1. R. A. Schoventgerd, Remote Sensing. Models and Methods of Image Processing Vol. 1 (Tekhnosfera, Moscow, 2010) [in Russian].

    Google Scholar 

  2. V. V. Asmus, “Software and Hardware Complex for Processing Satellite Data and Its Application for Hydrometeorology Tasks and Monitoring of the Natural Environment,” Doctor’s Dissertation (Moscow, 2002).

    Google Scholar 

  3. V. A. Khrovotyntsev, I. S. Trenina, R. V. Volgutov, et al., “Information Products of Satellite Monitoring of Polar Water Areas of the Earth and Freezing Seas of Russia,” Meteospektr, No. 2, 89–98 (2014).

    Google Scholar 

  4. S. M. Borzov, A. O. Potaturkin, O. I. Potaturkin, et al., “Analysis of the Efficiency of Classification of Hyperspectral Satellite Images of Natural and Man-Made Areas,” Avtometriya 52 (1), 3–14 (2016) [Optoelectron., Instrum. Data Process. 52 (1), 1–10 (2016)].

    Google Scholar 

  5. S. M. Borzov and O. I. Potaturkin, “Efficiency of the Spectral-Spatial Classification of Hyperspectral Imaging Data,” Avtometriya 53 (1), 32–42 (2016) [Optoelectron., Instrum. Data Process. 53 (1), 26–34 (2016)].

    Google Scholar 

  6. G. I. Salov, “Power of Nonparametric Tests for Detecting Extended Objects on a Random Background,” Avtometriya, No. 3, 60–75 (1997).

    Google Scholar 

  7. G. I. Salov, “New Statistical Test for Problems with Two and Three Samples, Which Is More Powerful than the Wilcoxon and Whitney Tests,” Avtometriya 47 (4), 58–70 (2011) [Optoelectron., Instrum. Data Process. 47 (4), 368–377 (2011)].

    Google Scholar 

  8. V. V. Asmus, A. A. Buchnev, V. P. Pyatkin, et al., “Software System for Satellite Data Processing of Applied Tasks in Remote Sensing of the Earth,” Pattern Recogn. Image Analys. 19 (3), 69–74 (2009).

    Article  Google Scholar 

  9. V. V. Asmus, A. A. Buchnev, and V. P. Pyatkin, “Controlled Classification of Earth Remote Sensing Data,” Avtometriya 44 (4), 60–67 (2008) [Optoelectron., Instrum. Data Process. 44 (4), 331–336 (2008)].

    Google Scholar 

  10. V. V. Asmus, A. A. Buchnev, and V. P. Pyatkin, “Cluster Analysis of Earth Remote Sensing Data,” Avtometriya 46 (2), 58–66 (2010) [Optoelectron., Instrum. Data Process. 46 (2), 149–155 (2010)].

    Google Scholar 

  11. F. A. Kruse, A. B. Lefkoff, J. W. Boardman, et al., “The Spectral Image Processing System (SIPS) — Interactive Viualization and Analysis of Imaging Spectrometer Data,” Remote Sensing of Environment 44 (2–3), 145–163 (1993).

    Article  ADS  Google Scholar 

  12. A. K. Jain, “Data Clustering: 50 Years Beyond K-Means,” Pattern Recogn. Lett. 31, 651–666 (2010).

    Article  Google Scholar 

  13. J. C. Bezdek, R. Ehrlich, and W. Full, “FCM: The Fuzzy C-Means Clustering Algorithm,” Comput. Geosci. 10 (2), 191–203 (1984).

    Article  ADS  Google Scholar 

  14. J. Bernd, Digital Image Processing (Springer-Verlag, Berlin — Heidelberg, 2005).

    Google Scholar 

  15. R. C. Gonzalez and P. A. Wintz, Digital Image Processing (Addison-Wesley, 1977).

    MATH  Google Scholar 

  16. A. A. Buchnev, V. P. Pyatkin, “Monitoring of Clouds on the Basis of Data Provided by Geostationary Earth Satellites,” Avtometriya 45 (5), 40–47 (2009) [Optoelectron., Instrum. Data Process. 45 (5), 413–418 (2009)].

    Google Scholar 

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Authors and Affiliations

  1. Research Center “Planeta”, Bol’shoi Predtechenskii per. 7, Moscow, 123242, Russia

    V. V. Asmus & V. A. Krovotyntsev

  2. Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch, Russian Academy of Sciences, pr. Akademika Lavrent’eva 6, Novosibirsk, 630090, Russia

    A. A. Buchnev, V. P. Pyatkin & G. I. Salov

Authors
  1. V. V. Asmus
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  2. A. A. Buchnev
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  3. V. A. Krovotyntsev
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  4. V. P. Pyatkin
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  5. G. I. Salov
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Corresponding author

Correspondence to V. P. Pyatkin.

Additional information

Original Russian Text © V.V. Asmus, A.A. Buchnev, V.A. Krovotyntsev, V.P. Pyatkin, G.I. Salov, 2018, published in Avtometriya, 2018, Vol. 54, No. 3, pp. 14–23.

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Asmus, V.V., Buchnev, A.A., Krovotyntsev, V.A. et al. Planetamonitoring Software Complex in Applied Remote Sensing Problems. Optoelectron.Instrument.Proc. 54, 222–229 (2018). https://doi.org/10.3103/S8756699018030020

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  • DOI: https://doi.org/10.3103/S8756699018030020

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