Frontiers in Optics 2011/Laser Science XXVII 2011
DOI: 10.1364/fio.2011.jwa24
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Multispectral Method for Air Tract Influence Attenuation

Abstract: multispectral method for air tract influence attenuation on basis of color detector with Bayer filter is introduced. The difference in position of target image in different colors allows compensating the air tract refraction.OCIS codes: 120.4570, 150.3045 Optical-electronic systems for position control of large-scale objectsOptical-electronic systems are widely used for the position control of large and critical objects (geodesic systems for engineering structures, etc.). Often the accuracy less than 0.1 mm at… Show more

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Cited by 5 publications
(2 citation statements)
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“…The possibility of using beams of two wavelengths to find the true line of sight were shown by some researches, such as 10,11 . In the paper 10 it was shown that this technique allows to reduce heat distortions of 1.2 mm with an accuracy of 10 microns using UV and IR sources and a CCD camera.…”
Section: Theory and Methods Of Dispersometrymentioning
confidence: 99%
“…The possibility of using beams of two wavelengths to find the true line of sight were shown by some researches, such as 10,11 . In the paper 10 it was shown that this technique allows to reduce heat distortions of 1.2 mm with an accuracy of 10 microns using UV and IR sources and a CCD camera.…”
Section: Theory and Methods Of Dispersometrymentioning
confidence: 99%
“…Summarizing all the above we can say that it is better to use a matrix with higher resolution, ie the smallest pixel size in the edge of the diffraction limit. The experiment used a weighted summation algorithm since the measurements in low noise, based on analysis of the effectiveness of the algorithms, the method of weighted summing the squares of the irradiance is optimal as in terms of accuracy as well performance than geometric algorithms, approximation by a Gaussian function, algorithms based on machine learning, and can be recommended for OES using LED sight goals 17,18 . Figure 9.…”
Section: Figure 7 Computational Part Of the Virtual Laboratory In Lamentioning
confidence: 99%