Menu
Publications
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
2006
2005
2004
2003
2002
2001
Editor-in-Chief
Nikiforov
Vladimir O.
D.Sc., Prof.
Partners
doi: 10.17586/2226-1494-2021-21-3-311-319
An approach to photogrammetric processing of indirect optical location data
Read the full article ';
Article in Russian
For citation:
Abstract
For citation:
Grigor’ev A.N., Altuchov A.I., Korshunov D.S. An approach to photogrammetric processing of indirect optical location data. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2021, vol. 21, no. 3, pp. 311–319 (in Russian). doi: 10.17586/2226-1494-2021-21-3-311-319
Abstract
The paper proposes an approach to obtaining images of the objects under investigation based on indirect optical location data. The goal of the study is to increase the graphic similarity of the images and to assign them measuring properties. To achieve this goal, the concept of photogrammetric processing of frame images obtained by conducting indirect optical location in a certain way is formulated. The graphical similarity of the images is proposed to be improved by extracting photometric data related to the object and the background from the registered optical radiation. Based on the selected data, a statistical evaluation of the sample average of the optical radiation intensity from these sources is carried out. The obtained estimates are used to form a monochrome digital image. Adding measurement properties is done by converting the coordinates of the digital image to relative coordinates that have a metric expression. The reason for the decrease in the graphical similarity of the images obtained on the basis of indirect optical location data is determined. In particular, the addition of light waves from different sources, during the allotted exposure time of the photodetector, leads to the merging of the object and the background in the resulting image. The paper presents an approach to the separation of photometric data from different sources that is based on the observation of the phase difference between the emitted and recorded light waves. The authors define the mathematical apparatus for linking the obtained images to the relative coordinate system that is adapted for the case of indirect optical location. The concept of conducting indirect optical location using a special optoelectronic complex is proposed. The study describes the requirements for the equipment of an optoelectronic complex that generates and registers optical radiation with the required parameters. The results of an experiment on the formation of images with measuring properties confirm the feasibility of using the proposed method. Conducting an indirect optical location opens the way to obtaining images of an area that is inaccessible to humans. In particular, the results of the experiment demonstrate that the use of the proposed concept provides images of an object placed behind a light-tight obstacle, which are characterized by the presence of measuring properties and reflect the details of the object under study with high graphical similarit.
Keywords: indirect optical location, optical radiation, three-dimensional image
References
References
1. Heide F., Diamond S., Lindell D.B., Wetzstein G. Sub-picosecond photon-efficient 3D imaging using single-photon sensors. Scientific Reports, 2018, vol. 8, no. 1, pp. 17726. doi: 10.1038/s41598-018-35212-x
2. McCarthy A., Krichel N., Gemmell N., Ren X., Tanner M., Dorenbos S., Zwiller V., Hadfield R., Buller G. Kilometer-range, high resolution depth imaging via 1560 nm wavelength single-photon detection. Optics Express, 2013, vol. 21, no. 7, pp. 8904–8915. doi: 10.1364/OE.21.008904
3. Pawlikowska A., Halimi A., Lamb R., Buller G. Single-photon three-dimensional imaging at up to 10 kilometers range. Optics Express, 2017, vol. 25, no. 10, pp. 11919–11931. doi: 10.1364/OE.25.011919
4. Shin D., Kirmani A., Goyal V.K., Shapiro J.H. Photon-efficient computational 3-D and reflectivity imaging with single-photon detectors. IEEE Transactions on Computational Imaging, 2015, vol. 1, no. 2, pp. 112–125. doi: 10.1109/TCI.2015.2453093
5. Warburton R., Aniculaesei C., Clerici M., Altmann Y., Gariepy G., McCracken R., Reid D., McLaughlin S., Petrovich M., Hayes J., Henderson R., Faccio D., Leach J. Observation of laser pulse propagation in optical fibers with a SPAD camera. Scientific Reports, 2017, vol. 7, pp. 43302. doi: 10.1038/srep43302
6. Gariepy G., Krstajic N., Henderson R., Li C., Thomson R.R., Buller G.S., Heshmat B., Raskar R., Leach J., Faccio D. Single-photon sensitive light-in-fight imaging. Nature Communications, 2015, vol. 6, pp. 6021. doi: 10.1038/ncomms7021
7. Gariepy G., Tonolini F., Henderson R., Leach J., Faccio D. Detection and tracking of moving objects hidden from view. Nature Photonics, 2016, vol. 10, pp. 23–26. doi: 10.1038/nphoton.2015.234
8. Chen Z., Liu B., Guo G. Adaptive single photon detection under fluctuating background noise. Optics Express, 2020, vol. 28, no. 20, pp. 30199–30209. doi: 10.1364/OE.404681
9. Grigor’ev А.N., Altukhov A.I., Korshunov D.S. Aerial mapping based on arrangement of optical electron cameras. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2020, vol. 20, no. 3, pp. 318–326. (in Russian). doi: 10.17586/2226-1494-2020-20-3-318-326
10. Altukhov A.I., Shabakov E.I., Korshunov D.S. A method of images contrast enhancement under conditions of the Earth survey from space. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2018, vol. 18, no. 4, pp. 573–580. (in Russian). doi: 10.17586/2226-1494-2018-18-4-573-580
11. Korotaev V.V., Maraev A.A. Sources and Detectors of Optical Radiation. St. Petersburg, ITMO University, 2017, 104 p.
12. Gorbachev A.A., Korotaev V.V., Yaryshev S.N. Solid-State Matrix Photoconverters and Cameras Based on Them. St. Petersburg, NIU ITMO, 2013, 98 p. (in Russian)
13. Buttafava M., Zeman J., Tosi A., Eliceiri K., Velten A. Non-line-of-sight imaging using a time-gated single photon avalanche diode. Optics Express, 2015, vol. 23, no. 16, pp. 20997–21011. doi: 10.1364/OE.23.020997
14. Grigor'ev A.N., Altuchov A.I., Korshunov D.S. Approach to getting images of objects based on indirect laser location data. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2021, vol. 21, no. 1, pp. 31–39. (in Russian). doi: 10.17586/2226-1494-2021-21-1-31-39
15. Velten A., Willwacher T., Gupta O., Veeraraghavan A., Bawendi M.G., Raskar R. Recovering three-dimensional shape around a corner using ultrafast time-of-flight imaging. Nature Communications, 2012, vol. 3, pp. 745. doi: 10.1038/ncomms1747
16. Vasilev A.S., Korotaev V.V. Research of the fusion methods of the multispectral optoelectronic systems images. Proceedings of SPIE, 2015, vol. 9530, pp. 953007. doi: 10.1117/12.2184554
17. Altukhov A.I., Korshunov D.S. Search method for changes of the earth’s surface state through multi-temporal satellite images. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2019, vol. 19, no. 3, pp. 410–416. (in Russian). doi: 10.17586/2226-1494-2019-19-3-410-416