Modelling of videoinformational tract of optoelectronic remote sensing systems of Earth: solutions, problems and tasks
A.Yu. Bavrina, V.V. Myasnikov, V.V. Sergeyev, E.V. Tresheva, N.V. Chupshev

Full text of article: Russian language.

Abstract:
This work describes the primary steps of visual data processing in electronic informational tract of remote sensed optical image formation. The mathimatical models, methods and algorithms produced for each of these steps that lie in the basis of the modelling program system that describes processes in the optical remote sensing of the Earth. This work describes the main visual differences in model-based and practical images. In addition, the perspective statements and directions of research work are mark out.

Key words:
optoelectronic tract, Earth remote sensing, modeling, digital image forensics.

References:

  1. Rees, W.G. Physical Principles of Remote Sensing / W.G. Rees. – Cambridge University Press, 2012. – 530 p.
  2. Schowengerdt, R.A. Remote Sensing: Models and Methods for Image Processing / R.A. Schowengerdt. – Academic Press, 2006. – 560 p.
  3. Zuev, V.I. Transfer of optical signals in Earth atmosphere (in noise case) / V.I. Zuev, M.V. Cabanov – Ìoscow: “Soviet Radio” Publisher, 1977. – 368 p. – (In Russian).
  4. Mishin, I.V. Nonlinear distortion estimation for the Earth's surface optical image in a horizontally-homogene­ous atmosphere / I.V. Mishin // Research Earth from Space. – 1982. – N 6. – P. 80-85. – (In Russian).
  5. Condratiev, C.Ya. The influence of the atmosphere on the exploration of natural resources from space / C.Ya. Con­dratiev, O.I. Smokti, V.V. Cozoderov. – Moscow: “Mashinostroenie” Publisher, 1985. – 272 p. – (In Russian)
  6. Gonin, G.B. Satellite imagery to natural resources / G.B. Gonin. – Leningrad: “Nedra” Publisher, 1980. – 319 p. – (In Russian).
  7. Melkanovich, A.F. Photographic equipment and their operation / A.F. Melkanovich. – Moscow: Defense Ministry Issue Publisher, 1984. – 576 p. – (In Russian).
  8. Frizer, H. Photographic recording of information / H. Frizer; trans. from German. – Moscow: “Mir” Publisher, 1978. – 670 p. – (In Russian).
  9. Goodman, J.W. Statistical Optics / J.W. Goodman. – Wiley-Interscience, 2000. – 572 p.
  10. Sergeyev, V.V. Methods of digital simulation of electro-optical systems for remote creation and image processing: Master’s thesis. – Samara, 1993. – 432 p. – (In Russian).
  11. Matise, B.K. Simulating the Performance of Imaging Sensors for Use in Realistic Tactical Environments / B.K. Matise, T.J. Rogne, G.R. Gerhart [et al.] // Proceedings SPIE. – 1985. – Vol. 550. – P.2-11.
  12. Shannon, R. The Art and Science of Optical Design / R. Shannon. – Cambridge University Press. – 630 p.
  13. Wikipedia – Cloud [Ýëåêòðîííûé ðåñóðñ] – Ýëåêòðîí. äàí. – USA, 2012. – http://en.wikipedia.org/wiki/Cloud.
  14. Harris, M.J. Real-time cloud rendering / M.J. Harris, A. Lastra // Proceedings of Eurographics. – 2001. – P. 76–84.
  15. Reeves, W. Particle systems - a technique for modeling a class of fuzzy objects / W. Reeves // Proceedings of SIGGRAPH. – 1983. – P. 359-375.
  16. Reeves, W. Approximate and probabilistic algorithms for shading and rendering structured particle systems / W. Reeves, R. Blau // Proceedings of SIGGRAPH. – 1985. – P. 313-322.
  17. Blinn, J.F. A generalization of algebraic surface drawing / J.F. Blinn // Proceedings of SIGGRAPH. – 1982. – P. 273-274.
  18. Wyvill, G. Ray-Tracing Soft Objects / G. Wyvill, A. Trot­man // Proceedings of CG International. – 1990. - P. 439-475.
  19. Dobashi, Y. Using metaballs to modeling and animate clouds from satellite images / Y. Dobashi, T. Nishita, H. Yamashita, T. Okita // The Visual Computer. – 1999. – Vol. 15. – P. 471-482.
  20. Dobashi, Y. A simple, efficient method for realistic animation of clouds / Y. Dobashi, K. Kaneda, H. Yamashita, T. Okita, T. Nishita // Proceedings of SIGGRAPH. – 2000. – P. 19-28.
  21. Nishita, T. Display of clouds taking into account multiple anisotropic scattering and sky light / T. Nishita, Y. Dobashi, E. Nakamae // Proceedings of SIGGRAPH. – 1996. – P. 379-386.
  22. Cabral, B. Accelerated volume rendering and tomographic reconstruction using texture mapping hardware / B. Cabral, N. Cam, J. Foran // Proceedings of the 1994 Symposium on Volume Visualization. – 1994. – P. 91–98.
  23. Hufnagel, R.E. Random Wavefront Effects / R.E. Huf­nagel // Photographic Science and Engineering. – 1965. – N 4. – P. 244-247.
  24. Musgrave, F.K. Texturing and Modeling. A procedural Approach / F.K. Musgrave, D. Peachey, K. Perlin, D.S. Ebert, S. Worley. – 3d edition. – Morgan Kaufmann, 2002. – 712 p.
  25. Pratt, W.K. Digital Image Processing / W.K. Pratt. – New York: John Willey and Sons, Inc., 1978.
  26. Myasnikov, V.V. Computer program for automatic estimation of digital image quality / V.V. Myasnikov, A.A. Ivanov, M.V. Gashnikov, E.V. Myasnikov // Pattern Recognition and Image Analysis. – 2011. – Vol. 21. – N 3. – P. 415-418.
  27. Bavrina, A.U. Parametric estimation method of optical-electronic channel remote optical imaging / A.U. Bav­rina, V.V. Myasnikov, A.V. Sergeyev // Computer optics. – 2011. – Vol. 35, N 4. – P. 500-507. – (In Russian).
  28. Gashnikov, M.V. Detection of informative fragments in the task of evaluation of image quality / M.V. Gashnikov, V.V. Myasnikov // 8-th International Conference «Intellectual information processing – 2010». – Moscow: “Maks Press” Publisher, 2010. – P. 325-328. – (In Russian).
  29. Myasnikov, V.V. Software System for Identification of Optoelectronic Digital Imaging Systems and Estimation of Their Quality / V.V. Myasnikov, A.A. Ivanov, M.V. Gashnikov, E.V. Myasnikov // Proceedings of the 10-th International Conference on Pattern Recognition and Image Analysis: New Information technologies (PRIA-10’2010), St-Peterburg, Russian Federation, December 5-12, Spb.: Polytechnika, 2010. – Vol. 2. – P. 109-112.
  30. Cox, I.J. Digital watermarking and steganography / I.J. Cox, M. Miller, J. Bloom, J. Fridrich. – San Francisco: Morgan Kaufmann Publishing, 2008. – 624 p.
  31. Popescu, A.C. Statistical Tools for Digital Image Forensics / A.C. Popescu // PhD thesis, Dartmouth College, Department of Computer Science, Hanover, USA. – 2005. – P. 11-102.
  32. Glumov, N.I. Detection of artificial changes in the images of local origin / N.I. Glumov, A.V. Kuznetsov // Avtometria. – 2011. – Vol. 47, N 3. – P. 3-11. – (In Russian).
  33. Glumov, N.I. Analysis of images for local artificial changes with JPEG compression properties / N.I. Glumov, A.V. Kuznetsov // Pattern Recognition and Image Analysis. – 2011. – Vol. 21(2). – P. 244-246.
  34. Mostovoi, Ya.A. Distributed storage system of remote sensing, processing, and web-publishing / Ya.A. Mos­tovoi, V.V. Myasnikov, V.V. Sergeyev, V.A. Soifer // 5-th International Conference «Earth from Space – the Most Effective Solutions », Moscow, November 29 – December 1, 2011. Proceedings. – Moscow.: ITC «ScanEx», NP «Prozrachni Mir», Binom Issue. – P 150-151. – (In Russian).
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