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11
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vol 67 / November, 2024
Article

DOI 10.17586/0021-3454-2016-59-1-38-44

UDC 528.8.04

METHOD TO REDUCE DATA REDUNDANCY IN REMOTE SENSING FROM SPACE

A. N. Grigor’ev
Military Space Academy, St. Petersburg, 197198, Russia; Associate Professor


E. I. Shabakov
Mozhaisky Military Space Academy, Saint Petersburg, 197198, Russian Federation; Associate professor


A. N. Dementiev
Central Scientific-Research Institute of Machine Building, Department of Radio-Electronic Provision; Deputy Head of the Department


A. A. Romanov
ITMO University, Saint Petersburg, 197101, Russian Federation; Full Professor


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Abstract. Technologies of small object observation planning and survey with the use of space-based opticalelectronic remote sensing systems are studied. A brief analysis of methods used to reduce the volume of recorded data is presented. The possibility of contraction of spatial redundancy in a one-dimensional array of data recorded on board of the spacecraft is investigated. Models of survey objects for nonstationary observation conditions are developed, a method for reduction of spatial redundancy is proposed.
Keywords: spatial redundancy, target data, spacecraft, remote sensing, object of imagery, photogrammetric refraction, stochastic parameters, rational polynomials

References:
  1. Wu W., Lei N., Wang K., Wang Q, Li T. Proc. SPIE. Intern. Symp. on Photoelectronic Detection and Imaging: Imaging Sensors and Applications, 2013, no. 8908(89080S), pp. 639–635.
  2. Du Q., Zhu W., Fowler J. IEEE Geoscience and Remote Sensing Letters, 2008, no. 4(5), pp. 696–700.
  3. Li B., Yang R., Jiang H. IEEE Transactions on Geoscience and Remote Sensing, 2011, no. 1(49), pp. 236–250.
  4. Karami A., Yazdi M., Mercier G. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2012, no. 2(5), pp. 444–450.
  5. Zhang Q. Remote Sensing Letters, 2013, no. 12(4), pp. 1156–1165.
  6. Huang K., Dai Q. IEEE Transactions on Geoscience and Remote Sensing, 2012, no. 10(50), pp. 3737–3750.
  7. Ryan M.J., Arnold J.F. Remote Sensing of Environment, 1997, no. 3(61), pp. 419–436.
  8. Dudin E.A., Karin S.A., Grigor'ev A.N. Informatia i kosmos, 2014, no. 4, pp. 77–81. (in Russ.)
  9. Grigor'ev A.N., Dudin E.A. Izv. vuzov. Priborostroenie, 2015, no. 3 (58), pp. 179–184. (in Russ.)
  10. Grigor'ev A.N. Rocket and Space Instrumentation and Information Technology, Pt. 2, Moscow, 2012, pp. 69–77. (in Russ.)
  11. Bondur V.G. Izvestiya, Atmospheric and Oceanic Physics, 2014, no. 1, pp. 4–16. (in Russ.)
  12. Kolosov M.A., Shabel'nikov A.V. Refraktsiya elektromagnitnykh voln v atmosferakh Zemli, Venery i Marsa (Refraction of electromagnetic waves in the atmospheres of Earth, Venus and Mars), Moscow, 1976, 220 р. (in Russ.)
  13. Kuznetsov Yu. A., Labazov O. A. Ecology and Noospherology, 2009, no. 1–2(20), pp. 24–31. (in Russ.)
  14. Xiong Z., Zhang Y. Photogrammetric Engineering & Remote Sensing, 2009, no. 9(75), pp. 1083–1092.
  15. Grodecki J., Dial G. Photogrammetric Engineering & Remote Sensing, 2003, no. 1(69), pp. 59–68.