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Subpixel stacking and detection of blurred star images observed by an astroinertial attitude sensor against the background of the daytime sky
N.N. Vasilyuk 1

1 Electrooptika, LLC,
107076, Moscow, Russia, Stromynka, d.18, k.1

 PDF, 985 kB

DOI: 10.18287/2412-6179-CO-1309

Pages: 303-311.

Full text of article: Russian language.

Abstract:
To determine the attitude from the image of a star field obtained by a digital camera, it is necessary to detect images of individual stars and determine their coordinates with subpixel resolution. This problem is relatively easy to solve if the image of the star field is obtained by a stationary camera observing a clear night sky. The difficulty arises when the stars are observed by the rotating camera against the background of the daytime sky. The blurred images of stars are almost impossible to detect in the background noise in one frame. This difficulty can be overcome by accumulating a certain number of consecutive frames after the matched blur filtering has been performed. This paper considers an algorithm for accumulating the sequence of frames, implemented as a multichannel accumulator, consisting of several accumulative channels of the same type, and operating in parallel. The plane of the accumulated image in each channel coincides with the plane of the first frame of the accumulated sequence. Subpixel resolution in determining the coordinates of detected star images is achieved by introducing intrapixel discretization in the first frame. The orientation of the current frame relative to the first one is calculated from the measurements of the gyroscopes of the astroinertial sensor. When synthesizing the impulse responses of the blur-matched filters for the current frame, the attitude of this frame and the location of the intrapixel discretization nodes of the first frame are taken into account. Calculation formulas are given for determining the number of accumulated frames depending on the angular velocity of the camera rotation, the background intensity and the brightness of the observed stars. The simulation results show the possibility of detecting blurred images of fairly dim stars against the background of the daytime sky and determining their coordinates with subpixel resolution.

Keywords:
star tracker, astrocorrector, astro inertial navigation system, blur correction, images stacking.

Citation:
Vasilyuk NN. Subpixel stacking and detection of blurred star images observed by an astroinertial attitude sensor against the background of the daytime sky. Computer Optics 2024; 48(2): 303-311. DOI: 10.18287/2412-6179-CO-1309.

References:
  1. Vasilyuk NN. Synthesis of the rotational blur kernel in a digital image using measurements of a triaxial gyroscope. Computer Optics 2022; 46(5): 763-773. DOI: 10.18287/2412-6179-CO-1081.
  2. Vasilyuk NN. Correction of rotational blur in images of stars observed by an astroinertial attitude sensor against the background of the daytime sky. Computer Optics 2023; 47(1): 79-91. DOI: 10.18287/2412-6179-CO-1141.
  3. Liebe CC, Gromov K, Meller DM. Toward a stellar gyroscope for spacecraft attitude determination. J Guid Control Dyn 2004; 26(1): 91-99. DOI: 10.2514/1.9289.
  4. Samaan MA, Mortari D, Pollock TC, Junkins JL Predictive centroiding for single and multiple FOVs star trackers. J Astronaut Sci 2002; 50(1): 113-123. DOI: 10.1007/BF03546333.
  5. Aretskin-Hariton E, Swank AJ. Star tracker performance estimate with IMU. AIAA Guidance, Navigation and Control Conf 2015: AIAA2015-0334. DOI: 10.2514/6.2016-0334.
  6. Wang Z, Jiang J, Zhang G. Global field of view imaging model and parameter optimization for high dynamic star tracker. Opt Express 2018; 26(25): 33314-33332. DOI: 10.1364/OE.26.033314.
  7. Wang S, Zhang S, Ning M, Zhou B. Motion blurred star image restoration based on MEMS gyroscope aid and blur kernel correction. Sensors 2018; 18(8): 2662. DOI: 10.3390/s18082662.
  8. Loke SC. Astronomical image acquisition using an improved track and accumulate method. IEEE Access 2017; 5: 9691-9698. DOI: 10.1109/ACCESS.2017.2700162.
  9. Ni Y, Dai D, Tan W, Wang X, Qin S. Attitude-correlated frames adding approach to improve signal-to-noise ratio of star image for star tracker. Opt Express 2019; 27(11): 15548-15564. DOI: 10.1364/OE.27.015548.
  10. Ma L, Bernelli-Zazzera F, Qin S, Wang X, Ma L. Performance analysis of the attitude-correlated frames approach for star sensors. IEEE Metrology for Aerospace 2016: 81-86. DOI: 10.1109/MetroAeroSpace.2016.7573190.
  11. Kirichuk VS, Kosykh VP, Kurmanbek UT. Algorithm of detection of moving small-scale objects in a sequence of images. Optoelectronics, Instrumentation and Data Processing 2009; 45(1): 8-13. DOI 10.1134/S8756699009010026.
  12. Kirichuk VS, Kosykh VP. Construction of a multichannel filter for detecting point targets in the image formed by a matrix photodetector. Optoelectronics, Instrumentation and Data Processing 2012; 48(5): 497-505. DOI 10.3103/S875669901205010X.
  13. Branets VN, Shmyglevski IP, Applications of quaternions in problems on the motion of rigid bodies [In Russian], Moscow: "Nauka" Publisher; 1973.
  14. Molodenkov АV, Sapunkov YG, Perelyaev SЕ, Molodenkova ТV, Analytical solutions in the Darboux problem, the Bortz equation and the approach to orientation algorithm of sins based on them [In Russian]. Applied Mathematics and Mechanics 2019, 83(4): 586-596. DOI 10.1134/S003282351904009X.
  15. Bessonov RV, Zhukov BS, Karavaeva ES, et al. The basic principles of design of astrocorrector for endoatmospheric vehicles [In Russian]. Current Problems in Remote Sensing of the Earth from Space 2018; 15(6): 21-30. DOI: 10.21046/2070-7401-2018-15-6-21-30.

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