Efficient filtering of space-periodic distortions on archive images

1Makarov, AL, 2Mozgovoy, DK, 3Horoshilov, VS, 1Balashov, VN, 1Maslyey, DV, 1Popel’, VM
1Yangel Yuzhnoye State Design Office, Dnipropetrovsk, Ukraine
2Oles Honchar Dnipropetrovsk National University, Dnipro, Ukraine
3Yangel Yuzhnoye State Design Office, Dnipro, Ukraine
Kosm. nauka tehnol. 2014, 20 ;(4):14-21
https://doi.org/10.15407/knit2014.04.014
Publication Language: Russian
Abstract: 

We consider an efficient method to correct instrument spatialperiodic distortion on the archive satellite images obtained with the optometrist-mechanical scanner. Some essential advantages of filtering with the use of the Furie two-dimensional transformation with combine masks are shown to take place as compared with other methods.

Keywords: correction of satellite images, Fourier two-dimensional transformation
References: 

1. Gruzman I. S., Kirichuk V. S., Kosyh V. P. et al. Digital image processing in information systems.  351 p. (Izd-vo NGTU, Novosibirsk, 2002) [in Russian].
2. Mozgovyj D. K. Increasing the information content of satellite shooting of small objects the earth's surface. Programa nauk. konf. za pidsumkamy naukovo-doslidnoi' roboty un-tu za 2012 rik.  P. 92 (DNU, Dnipropetrovs'k, 2012) [in Ukrainian].
3. Mozgovyj D., Voloshyn V. Filtering spatially periodic instrument noise on satellite images.  Zb. prac' Tavrijs'koi' derzhavnoi' agrotehnichnoi' akademii'.  20, Issue 4 (2003) [in Ukrainian].
4. Mozgovyj D. K., Korchyns'kyj V. M., Kravec' O. V. The use of wavelets in the processing of satellite images of high spatial resolution.  Visnyk DNU. Raketno-kosmichna tehnika.  Issue 13,  1(17/4), 65—71 (2009) [in Ukrainian].
5. Mozgovoj D. K. Filtering of the instrument periodic interference. VIII Mizhnarodna molodizhna naukovo-praktychna konferencija «Ljudyna i kosmos», 13−14 kvitnja 2006 r, Dnipropetrovs'k, Nacional'nyj centr aerokosmichnoi' osvity molodi Ukrai'ny: Zb. tez, 397 (NCAOMU, Dnipropetrovs'k, 2006) [in Russian].
6. Mozgovoj D. K. The use of combined masks to filter periodic interference.  Applied geometry and graphics, 175—179 (Ukr. asociacija z prykladnoi' geometrii', Kyiv, 2008) [in Russian].
7. Mozgovoj D. K. Using MODIS data and ASTER images for solution of actual  applications. Mezhdunar. nauchno-prakticheskaja konf. «Strategicheskie reshenija informacionnogo razvitija jekonomiki, obshhestva i biznesa na sovremennom jetape»:  Tezisy dokladov.  P. 113—114 (July 17—19, 2013, Nauchnyj, Krym) [in Russian].
8. Mozgovoj D. K., Voloshin V. I., Bushuev E. I. Filtering radiometric interference with space-periodic structure. Journal of Automation and Information Sciences, No. 3, 97—106 (2004) [in Russian].
9. Mozgovoj D. K., Kravets O. V.  A classification of the low-sized objects on satellite photographs. Ecology and Noospherology, 20(3-4), 26—30 (2009) [in Russian].
10. Mozgovoj D. K., Kravec O. V. Detection of small objects using a class library.  Visnyk DNU. Raketno-kosmichna tehnika.  Issue 13,  1(17/4), 71—75 (2009) [in Russian].
11. Reports on the received information from the spacecraft "Ocean-O" on the 8.2 GHz radio line. (Chernigov, GNPP «Obrij», 1999…2001 gg.) [in Russian].
12. Dolinets Y., Mozgovoy D. Specialists training in ERS.  Advanced space technologies for the humankind prosperity: International Conf.,  P. 123 (Yuzhnoe State Design Office, Dnepropetrovsk, 2007).
13. Mozgoviy D. K., Parshina O. I., Voloshin V. I., Bushuev Y. I. Remote sensing and GIS application for environmental monitoring and accidents control in Ukraine. Geographic uncertainty in environmental security / Ed. by A. Morris, S. Kokhan.  P. 259—270 (Springer, Published with NATO Public Diplomacy Division, Dordrecht, 2007).
14. Mozgovoy D. Method of programm’s control of angle motion of remote sensing satellite during the shooting.  Technologies: Present and Future. International Conference,  P. 158—159 (Yuzhnoe State Design Office, Dnepropetrovsk, 2013).
15. Mozgovoy D. K., Voloshin V. I., Bushuev E. I. Filtration of radiometric interference with a space-periodic structure. J. Automation and Inform. Sci.  36(6), 14—22 (2004). 
https://doi.org/10.1615/JAutomatInfScien.v36.i6.20