Improving the accuracy of identifying objects in digital frames using a procedure of full identification of measurements
DOI:
https://doi.org/10.15587/1729-4061.2023.288940Keywords:
image processing, parameter estimation, measurement identification, series of frames, catalog formAbstract
The variability of shooting conditions affects the quality of images of Solar System objects in a series of frames. Identification of a frame with the corresponding part of the sky becomes difficult if the quality is poor. Because of this fact, the detection quality indicators and estimation of the position of Solar System objects are significantly reduced when using already known methods and international astronomical catalogs. To solve this problem, the procedure of full identification of measurements of objects on digital frames was devised.
This procedure is based on the formation of triplets (triangles) of primary identification from the side of the digital frame and the astronomical catalog. Positional coordinates on the frame and ideal tangential coordinates from the catalog were used. Owing to this, a comparison of the primary identification triplets was carried out by comparing the calculated angles of the triangle vertices. The identity of the hypothesis was determined by comparison with the acceptable deviation.
The use of the developed full identification procedure makes it possible to reduce the number of false detections and improve identification with reference astronomical objects. The study showed that when identifying frames, astrometry has better accuracy of reference to the starry sky. In addition, the standard deviation of frame identification errors in this case is 6–9 times less than without using the devised procedure.
The procedure developed for complete identification was practically tested within the framework of the CoLiTec project. It was implemented in the Lemur software for automated detection of new and tracking of known objects. Owing to the use of Lemur software and the proposed computational procedure implemented in it, more than 700,000 measurements of various astronomical objects under study were successfully identified.
References
- Dearborn, D. P. S., Miller, P. L. (2014). Defending Against Asteroids and Comets. Handbook of Cosmic Hazards and Planetary Defense, 1–18. doi: https://doi.org/10.1007/978-3-319-02847-7_59-1
- Mykhailova, L., Savanevych, V., Sokovikova, N., Bezkrovniy, M., Khlamov, S., Pogorelov, A. (2014). Method of maximum likelihood estimation of compact group objects location on CCD-frame. Eastern-European Journal of Enterprise Technologies, 5 (4 (71)), 16–22. doi: https://doi.org/10.15587/1729-4061.2014.28028
- Savanevych, V. E., Khlamov, S. V., Akhmetov, V. S., Briukhovetskyi, A. B., Vlasenko, V. P., Dikov, E. N. et al. (2022). CoLiTecVS software for the automated reduction of photometric observations in CCD-frames. Astronomy and Computing, 40, 100605. doi: https://doi.org/10.1016/j.ascom.2022.100605
- Vavilova, I., Pakuliak, L., Babyk, I., Elyiv, A., Dobrycheva, D., Melnyk, O. (2020). Surveys, Catalogues, Databases, and Archives of Astronomical Data. Knowledge Discovery in Big Data from Astronomy and Earth Observation, 57–102. doi: https://doi.org/10.1016/b978-0-12-819154-5.00015-1
- Cavuoti, S., Brescia, M., Longo, G. (2012). Data mining and knowledge discovery resources for astronomy in the web 2.0 age. Software and Cyberinfrastructure for Astronomy II. doi: https://doi.org/10.1117/12.925321
- Chalyi, S., Levykin, I., Biziuk, A., Vovk, A., Bogatov, I. (2020). Development of the technology for changing the sequence of access to shared resources of business processes for process management support. Eastern-European Journal of Enterprise Technologies, 2 (3 (104)), 22–29. doi: https://doi.org/10.15587/1729-4061.2020.198527
- Khlamov, S., Savanevych, V. (2020). Big Astronomical Datasets and Discovery of New Celestial Bodies in the Solar System in Automated Mode by the CoLiTec Software. Knowledge Discovery in Big Data from Astronomy and Earth Observation, 331–345. doi: https://doi.org/10.1016/b978-0-12-819154-5.00030-8
- Troianskyi, V., Kankiewicz, P., Oszkiewicz, D. (2023). Dynamical evolution of basaltic asteroids outside the Vesta family in the inner main belt. Astronomy & Astrophysics, 672, A97. doi: https://doi.org/10.1051/0004-6361/202245678
- Akhmetov, V., Khlamov, S., Savanevych, V., Dikov, E. (2019). Cloud Computing Analysis of Indian ASAT Test on March 27, 2019. 2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T). doi: https://doi.org/10.1109/picst47496.2019.9061243
- Oszkiewicz, D., Troianskyi, V., Galád, A., Hanuš, J., Ďurech, J., Wilawer, E. et al. (2023). Spins and shapes of basaltic asteroids and the missing mantle problem. Icarus, 397, 115520. doi: https://doi.org/10.1016/j.icarus.2023.115520
- Smith, G. E. (2010). Nobel Lecture: The invention and early history of the CCD. Reviews of Modern Physics, 82 (3), 2307–2312. doi: https://doi.org/10.1103/revmodphys.82.2307
- Savanevych, V., Khlamov, S., Vlasenko, V., Deineko, Z., Briukhovetskyi, O., Tabakova, I., Trunova, T. (2022). Formation of a typical form of an object image in a series of digital frames. Eastern-European Journal of Enterprise Technologies, 6 (2 (120)), 51–59. doi: https://doi.org/10.15587/1729-4061.2022.266988
- Klette, R. (2014). Concise Computer Vision. An Introduction into Theory and Algorithms. Springer, 429. doi: https://doi.org/10.1007/978-1-4471-6320-6
- Savanevych, V., Khlamov, S., Briukhovetskyi, O., Trunova, T., Tabakova, I. (2023). Mathematical Methods for an Accurate Navigation of the Robotic Telescopes. Mathematics, 11 (10), 2246. doi: https://doi.org/10.3390/math11102246
- Kuz'min, S. Z. (2000). Tsifrovaya radiolokatsiya. Vvedenie v teoriyu. Kyiv: Izdatel'stvo KvіTs, 428.
- Savanevych, V., Akhmetov, V., Khlamov, S., Dikov, E., Briukhovetskyi, A., Vlasenko, V. et al. (2019). Selection of the Reference Stars for Astrometric Reduction of CCD-Frames. Advances in Intelligent Systems and Computing, 881–895. doi: https://doi.org/10.1007/978-3-030-33695-0_57
- Khlamov, S., Tabakova, I., Trunova, T. (2022). Recognition of the astronomical images using the Sobel filter. 2022 29th International Conference on Systems, Signals and Image Processing (IWSSIP). doi: https://doi.org/10.1109/iwssip55020.2022.9854425
- Belov, L. A. (2021). Radioelektronika. Formirovanie stabil'nykh chastot i signalov. Moscow: Izdatel'stvo Yurayt, 268.
- Lösler, M., Eschelbach, C., Riepl, S. (2018). A modified approach for automated reference point determination of SLR and VLBI telescopes. Tm - Technisches Messen, 85 (10), 616–626. doi: https://doi.org/10.1515/teme-2018-0053
- Minaee, S., Boykov, Y. Y., Porikli, F., Plaza, A. J., Kehtarnavaz, N., Terzopoulos, D. (2021). Image Segmentation Using Deep Learning: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence. doi: https://doi.org/10.1109/tpami.2021.3059968
- Akhmetov, V., Khlamov, S., Tabakova, I., Hernandez, W., Nieto Hipolito, J. I., Fedorov, P. (2019). New approach for pixelization of big astronomical data for machine vision purpose. 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE). doi: https://doi.org/10.1109/isie.2019.8781270
- Hampson, K. M., Gooding, D., Cole, R., Booth, M. J. (2019). High precision automated alignment procedure for two-mirror telescopes. Applied Optics, 58 (27), 7388. doi: https://doi.org/10.1364/ao.58.007388
- Parimucha, Š., Savanevych, V. E., Briukhovetskyi, O. B., Khlamov, S. V., Pohorelov, A. V., Vlasenko, V. P. et al. (2019). CoLiTecVS - A new tool for an automated reduction of photometric observations. Contributions of the Astronomical Observatory Skalnate Pleso, 49 (2), 151–153.
- Khlamov, S., Vlasenko, V., Savanevych, V., Briukhovetskyi, O., Trunova, T., Chelombitko, V., Tabakova, I. (2022). Development of computational method for matched filtration with analytical profile of the blurred digital image. Eastern-European Journal of Enterprise Technologies, 5 (4 (119)), 24–32. doi: https://doi.org/10.15587/1729-4061.2022.265309
- Politsch, C. A., Cisewski-Kehe, J., Croft, R. A. C., Wasserman, L. (2020). Trend filtering – I. A modern statistical tool for time-domain astronomy and astronomical spectroscopy. Monthly Notices of the Royal Astronomical Society, 492 (3), 4005–4018. doi: https://doi.org/10.1093/mnras/staa106
- Burger, W., Burge, M. J. (2009). Principles of Digital Image Processing. Springer, 332. doi: https://doi.org/10.1007/978-1-84800-195-4
- Kashuba, S., Tsvetkov, M., Bazyey, N., Isaeva, E., Golovnia, V. (2018). The Simeiz plate collection of the ODESSA astronomical observatory. 11th Bulgarian-Serbian Astronomical Conference, 207–216. Available at: https://astro.bas.bg/XIBSAC/Proceedings/Proceedings_11BSAC.pdf
- Li, T., DePoy, D. L., Marshall, J. L., Nagasawa, D. Q., Carona, D. W., Boada, S. (2014). Monitoring the atmospheric throughput at Cerro Tololo Inter-American Observatory with aTmCam. Ground-Based and Airborne Instrumentation for Astronomy V. doi: https://doi.org/10.1117/12.2055167
- Zacharias, N., Finch, C. T., Girard, T. M., Henden, A., Bartlett, J. L., Monet, D. G., Zacharias, M. I. (2013). The fourth us naval observatory CCD astrograph catalog (UCAC4). The Astronomical Journal, 145 (2), 44. doi: https://doi.org/10.1088/0004-6256/145/2/44
- Lemur software. CoLiTec project. Available at: https://www.colitec.space
- Khlamov, S., Savanevych, V., Briukhovetskyi, O., Tabakova, I., Trunova, T. (2022). Data Mining of the Astronomical Images by the CoLiTec Software. CEUR Workshop Proceedings, 3171, 1043–1055. Available at: https://ceur-ws.org/Vol-3171/paper75.pdf
- Ping, Y., Zhang, C., Lu, C. (2018). The Representation of OTA Images’ Astrometric Results with WCS-SIP Coefficientstwo. Chinese Astronomy and Astrophysics, 42 (2), 267–278. doi: https://doi.org/10.1016/j.chinastron.2018.04.006
- Akhmetov, V., Khlamov, S., Khramtsov, V., Dmytrenko, A. (2019). Astrometric Reduction of the Wide-Field Images. Advances in Intelligent Systems and Computing, 896–909. doi: https://doi.org/10.1007/978-3-030-33695-0_58
- Sergienko, A. B. (2011). Tsifrovaya obrabotka signalov. Sankt-Peterburg, 768.
- Fischer, G. (1976). Complex Analytic Geometry. Lecture Notes in Mathematics. Springer, 206. doi: https://doi.org/10.1007/bfb0080338
- Legault, T. (2014). Astrophotography. Rocky Nook, Inc.
- Kobzar', A. I. (2006). Prikladnaya matematicheskaya statistika. Dlya inzhenerov i nauchnykh rabotnikov. Moscow: FIZMATLI, 816.
- Shvedun, V. O., Khlamov, S. V. (2016). Statistical modelling for determination of perspective number of advertising legislation violations. Actual Problems of Economics, 184 (10), 389–396.
- Zhang, Y., Zhao, Y., Cui, C. (2002). Data mining and knowledge discovery in database of astronomy. Progress in Astronomy, 20 (4), 312–323.
- Steger, C., Ulrich, M., Wiedemann, C. (2018). Machine vision algorithms and applications. John Wiley & Sons, 516.
- Рetrychenko, A., Levykin, I., Iuriev, I. (2021). Improving a method for selecting information technology services. Eastern-European Journal of Enterprise Technologies, 2 (2 (110)), 32–43. doi: https://doi.org/10.15587/1729-4061.2021.229983
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Copyright (c) 2023 Sergii Khlamov, Vadym Savanevych, Vladimir Vlasenko, Tetiana Trunova, Volodymyr Troianskyi, Roman Gerasimenko, Viktoriia Shvedun
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