Research scientist

I have been working at Skoltech from November 2016. Prior to joining Skoltech I was working at the State Research Institution “Institute for Scientific Research of Aerospace Monitoring “AEROCOSMOS” (ISR “AEROCOSMOS”, Научно-исследовательский институт аэрокосмического мониторинга АЭРОКОСМОС). I still have a part-time position in ISR “AEROCOSMOS”.

Research interests

Data fusion techniques for:

  • spatial-temporal analysis of long-term remote sensing data for prediction problems;
  • multi-sensor data fusion for multi-spectral image upscaling problems;
  • missing data recovery;
  • sea-wave spectra reconstruction from satellite imagery.

All publications, sorted by year

  1. K. Gorokhovsky, V. Ignatiev, A. Murynin, K. Rakova. Tuning the optimal parameters of the probabilistic algorithm for increasing the spatial resolution of multispectral satellite images. Journal of Computer and Systems Sciences International. (in print)

  2. Gurchenkov A.A., Murynin A.B., Trekin A.N., Ignatyev V.Yu. Object-Oriented Classification of Substrate Surface Objects in Arctic Impact Regions Aerospace Monitoring. Herald of the Bauman Moscow State Technical University, Series Natural Sciences. 2017. No. 3. Vol. 72. P. 124-141 10.18698/1812-3368-2017-3-135-146

  3. Ignatyev V.Yu., Matveev I.A., Murynin A.B., Trekin A.N. Image Quality Assessment by Upsampling Methods Based on Spatial Spectrum Extrapolation. Herald of the Bauman Moscow State Technical University, Series Natural Sciences. 2017. No. 1. Vol. 70. P. 124-141. doi:10.18698/1812-3368-2017-1-124-141

  4. Bondur, V.G., Dulov, V.A., Murynin, A.B., Ignatiev, V.Y. Retrieving sea-wave spectra using satellite-imagery spectra in a wide range of frequencies. Izvestiya - Atmospheric and Ocean Physics. 2016. No. 52. Vol. 6. P. 637-648. doi:10.1134/S0001433816060049

  5. Ignatiev, V.Y., Murynin, A.B. Method and algorithms of forecasting the seasonal characteristics of anthropogenic impact areas using long-term remote sensing data. Journal of Computer and Systems Sciences International. 2015. No. 54. Vol. 3. P. 406-414. DOI: 10.1134/S1064230715030119

  6. Ignat’ev, V.Y., Moroz, I.I., Popov, N.N., Tsurkov, V.I. Quantum computations and non-classical Markov processes. Journal of Computer and Systems Sciences International. 2015. No. 54. Vol. 2. P. 212-217. DOI: 10.1134/S1064230715020069

  7. Murynin, A., Gorokhovskiy, K., Ignatiev, V. Trainable method for predicting Characteristics of land surface objects. Proceedings of the IADIS International Conference Computer Graphics, Visualization, Computer Vision and Image Processing 2013, CGVCVIP 2013. P. 119-125. DOI:10.13140/2.1.3081.6964

  8. A. Murynin, K. Gorokhovskiy,V. Ignatiev. Efficiency of crop yield forecasting depending on the moment of prediction based on large remote sensing data set. The 2013 International Conference on Data Mining (DMIN 2013). P. 36-40. DOI: 10.13140/2.1.1246.6882

  9. Murynin, A., Gorokhovskiy, K., Bondur, V., Ignatiev, V. Analysis of large long-term remote sensing image sequence for agricultural yield forecasting. Proceedings of the 4th International Workshop on Image Mining. Theory and Applications, IMTA 2013, In Conjunction with VISIGRAPP 2013. P. 48-55. DOI: 10.5220/0004393400480055