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Retrieval of crosswind velocity based on the analysis of remote object images: Part 2—Drift of turbulent volume

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Abstract

Possibilities for the crosswind profiling along a path of observation of a distant object from the analysis of the video sequence of its images are studied in this work by numerical simulation. The method suggested for wind velocity estimation is based on the analysis of two adjacent incoherent images and exhibits better performance in comparison with counterparts, which is explained by there being no need to accumulate statistics of the parameters analyzed. A new method for the filtration of turbulent distortions of an image by their characteristic sizes is suggested with the aim of estimating the wind velocity in different segments of an observation path. The work shows a possibility of determining the drift velocity of several (no less than three) layers of turbulent atmosphere, located at different positions between the object observed and receiving optical system, under certain turbulent conditions.

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References

  1. V. V. Dudorov and A. S. Eremina, “Retrieval of crosswind velocity based on the analysis of remote object images: Part 1—drift of a thin layer of turbulent inhomogeneities,” Atmos. Ocean. Opt. 30 (5), 422–428 (2017).

    Article  Google Scholar 

  2. S. L. Lachinova, M. A. Vorontsov, V. V. Dudorov, V. V. Kolosov, and M. T. Valley, “Anisoplanatic imaging through atmospheric turbulence: Brightness function approach,” Proc. SPIE 6708, 67080E (2007).

    Article  ADS  Google Scholar 

  3. V. V. Dudorov and V. V. Kolosov, “Anisoplanatic turbulence correction in incoherent imaging by using reference sources with different wavelengths,” Atmos. Ocean. Opt. 23 (5), 353–358 (2010).

    Article  Google Scholar 

  4. V. V. Dudorov, G. A. Filimonov, and V. V. Kolosov, “Algorithm for formation of an infinite random turbulent screen,” Proc. SPIE 6160, 61600R (2005).

    Google Scholar 

  5. R. B. Holmes, US Patent No. 5,469,250, USO05469250A (November 21, 1995).

    Google Scholar 

  6. M. Belenkii, Patent Appl. No. 2010/0128136 A1, US (May 27, 2010).

    Google Scholar 

  7. V. V. Dudorov and A. S. Eremina, “Determination of atmospheric turbulent inhomogeneity wind drift from sequence of incoherent images,” Proc. SPIE 9292, 92921F (2014).

    ADS  Google Scholar 

  8. A. S. Eremina and V. V. Dudorov, “Technique for filtration and estimation of the velocity of turbulent distortions in a video sequence of optical images under the wind drift of atmospheric inhomogeneities,” Izv. Vyssh. Ucheb. Zaved. Fiz. 58 (8/2), 192–194 (2015).

    Google Scholar 

  9. V. V. Dudorov and A. S. Eremina, “Filtration of optical image distortions for retrieving the drift velocity of atmospheric turbulence inhomogeneities,” Proc. SPIE 9680, CID: 9680 2E (2015).

    Google Scholar 

  10. V. V. Dudorov and A. S. Eremina, “Possibilities of crosswind profiling based on incoherent imaging,” Proc. SPIE 10035, CID: 100351Q (2016).

    Google Scholar 

  11. A. L. Afanasiev, V. A. Banakh, and A. P. Rostov, “Estimation of the integral wind velocity and turbulence in the atmosphere from distortions of optical images of naturally illuminated objects,” Atmos. Ocean. Opt. 29 (5), 422–430 (2016).

    Article  Google Scholar 

  12. D. A. Marakasov, “Estimation of mean wind velocity from correlations of centers of gravity shifings for noncoherent sources in the turbulent atmosphere,” Optika Atmos. Okeana 29 (4), 294–299 (2016).

    Google Scholar 

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Correspondence to V. V. Dudorov.

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Original Russian Text © V.V. Dudorov, A.S. Eremina, 2017, published in Optika Atmosfery i Okeana.

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Dudorov, V.V., Eremina, A.S. Retrieval of crosswind velocity based on the analysis of remote object images: Part 2—Drift of turbulent volume. Atmos Ocean Opt 30, 596–603 (2017). https://doi.org/10.1134/S1024856017060069

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  • DOI: https://doi.org/10.1134/S1024856017060069

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