Журнал

About Editorial Board Information for authors and reviewers Publication ethics Contacts User Account: send / review a manuscript
Archive
Volume 23, 2026
Number 1 Number 2 Number 3
Volume 22, 2025
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 21, 2024
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 20, 2023
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 19, 2022
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 18, 2021
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 17, 2020
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 16, 2019
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 15, 2018
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 14, 2017
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 13, 2016
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 12, 2015
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 11, 2014
Number 1 Number 2 Number 3 Number 4
Volume 10, 2013
Number 1 Number 2 Number 3 Number 4
Volume 9, 2012
Number 1 Number 2 Number 3 Number 4 Number 5
Volume 8, 2011
Number 1 Number 2 Number 3 Number 4
Volume 7, 2010
Number 1 Number 2 Number 3 Number 4
Issue 6, 2009
Volume 1 Volume 2
Issue 5, 2008
Volume 1 Volume 2
Issue 4, 2007
Volume 1 Volume 2
Issue 3, 2006
Volume 1 Volume 2
Issue 2, 2005
Volume 1 Volume 2
Issue 1, 2004
Volume 1
Search
Find:
русский
ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2026. Т. 23. № 3. С. 137-145

Improving the quality of images obtained from a small Earth observation satellite by vibration isolation of the target equipment

A.S. Taneeva 1 , E.S. Khnyryova 1 
1 Samara National Research University, Samara, Russia
Accepted: 10.03.2026
DOI: 10.21046/2070-7401-2026-23-3-137-145
The quality of satellite images is a crucial indicator for high precision surveys of various objects using spacecraft. Increasing demand on satellite imagery resolution prompts the search for ways to improve image quality. This may be related with improvements in target equipment, as well as provision of more favorable operating conditions. The capabilities of modern target equipment are far from exhausted. Meanwhile, survey conditions can be improved both through more efficient control laws and by vibration isolation of sensitive target equipment. The paper analyzes improvement in quality of an image obtained from a small Earth observation satellite with vibration isolation of the target equipment. The paper considers a small satellite whose design and layout includes large elastic structural elements, such as solar panels. Natural vibration of the elastic elements contributes to deterioration of the quality of obtained images. One way to mitigate the impact of the disturbances on image quality is to use vibration isolating devices and mount the target equipment on them. The paper evaluates the effectiveness of this approach using the Aist-2D small satellite as an example. These results can be used in the design of future small remote sensing satellites.
Keywords: vibration protection device, vibration isolation of target equipment, small spacecraft for remote sensing of the Earth, image quality
Full text

References:

  1. Gorchakov S., Synthesis of program angular motions of the Earth remote sensing spacecraft with high spatial resolution, Russian Technological J., 2021, V. 9, No. 3, pp. 78–87 (in Russian), DOI: 10.32362/2500-316X-2021-9-3-78-87.
  2. Kirilin A. N., Akhmetov R. N., Shakhmatov E. V., Tkachenko S. I., Baklanov A. I., Salmin V. V., Semkin N. D., Tkachenko I. S., Goryachkin O. V., Experimental technological small spacecraft “Aist-2D”, Samara: Publishing House of the Samara Scientific Center of the Russian Academy of Sciences, 2017, 324 p. (in Russian).
  3. Ali M. A., Eltohamy F., Abd-Elrazek A., Hanafy M. E., Assessment of micro-vibrations effect on the quality of remote sensing satellites images, Intern. J. Image and Data Fusion, 2023, V. 14, No. 3, pp. 243–260, DOI: 10.1080/19479832.2023.2167874.
  4. Belousov A. I., Sedel’nikov A. V., Probabilistic estimation of fulfilling favorable conditions to realize the gravity-sensitive processes aboard a space laboratory, Russian Aeronautics, 2013, V. 56, No. 3, pp. 297–302, DOI: 10.3103/S1068799813030124.
  5. Belousov A. I., Sedel’nikov A. V., Problems in formation and control of a required microacceleration level at spacecraft design, tests, and operation, Russian Aeronautics, 2014, V. 57, No. 2, pp. 111–117, DOI: 10.3103/S1068799814020019.
  6. Cao J., Zhou N., Shang H. et al., Internal geometric quality improvement of optical remote sensing satellite images with image reorientation, Remote Sensing, 2022, V. 14, No. 3, Article 471, https://doi.org/10.3390/rs14030471.
  7. Chen H., High-precision target detection of remote sensing image based on feature enhancement with 6G technology, Advances in Multimedia, 2022, V. 2022, No. 7, Article 095308, 14 p., DOI: 10.1155/2022/6095308.
  8. Duan K., Hou F., Duan Y., Research on vibration isolation of precision electronic equipment of spacecraft under severe load, In: Advances in Guidance, Navigation and Control. ICGNC 2024. Lecture Notes in Electrical Engineering, Singapore: Springer, 2025, V. 1351, pp. 41–47, DOI: 10.1007/978-981-96-2256-6_5.
  9. Guangwei S., Weigong C., Meisinger R., The research on the model of a magnetic suspension system, Electric Machine and Control, 2005, V. 9, No. 2, pp. 187–190.
  10. Hu H., Li H., Ma J. et al., Defect detection in remote sensing satellite images: A new dataset and algorithm, IEEE Trans. Geoscience and Remote Sensing, 2025, V. 63, Article 5605212, DOI: 10.1109/TGRS.2025.3526644.
  11. Ivliev N., Evdokimova V., Podlipnov V. et al., First Earth-imaging CubeSat with harmonic diffractive lens, Remote Sensing, 2022, V. 14, No. 9, Article 2230, DOI: 10.3390/rs14092230.
  12. Ivliev N., Podlipnov V., Petrov M. et al., 3U CubeSat-based hyperspectral remote sensing by offner imaging hyperspectrometer with radially-fastened primary elements, Sensors, 2024, V. 24, No. 9, Article 2885, https://doi.org/10.3390/s24092885.
  13. Kazanskiy N. L., Khonina S. N., Butt M. A., Exploring the functional characteristics of diffractive optical Element: A comprehensive review, Optics and Laser Technology, 2025, V. 183, Article 112383, DOI: 10.1016/j.optlastec.2024.112383.
  14. Liu C.-C., Jing X., Daley S., Li F., Recent advances in micro-vibration isolation, Mechanical Systems and Signal Processing, 2015, V. 55–56, No. 3, pp. 55–80, DOI: 10.1016/j.ymssp.2014.10.007.
  15. Liu W., Gao Y., Zhang L. et al., Flight test results for microgravity active vibration isolation system on-board Chinese Space Station, npj Microgravity, 2024, V. 10, Article 19, DOI: 10.1038/s41526-024-00359-7.
  16. Nikolaeva A. S., Evtushenko M. A., Manukyan L. A., Investigation of the accuracy of an approximate solution of the initial boundary value problem of thermal conductivity with boundary conditions of the third kind, Intern. J. Mathematical Modelling and Numerical Optimisation, 2025, V. 15, No. 1, pp. 52–63, https://doi.org/10.1504/IJMMNO.2025.145634.
  17. Safarabadi M., Izi H., Haghshenas J., Kelardeh H. K., Design of micro-vibration isolation system for a remote-sensing satellite payload using viscoelastic materials, Engineering Solid Mechanics, 2020, V. 8, pp. 69–76, DOI: 10.5267/j.esm.2019.8.003.
  18. Sedelnikov A. V., Fractal assessment of microaccelerations at weak damping of natural oscillation in spacecraft elastic elements. II, Russian Aeronautics, 2007, V. 50, No. 3, pp. 322–325, DOI: 10.3103/S1068799807030154.
  19. Sedelnikov A. V., Fractal quality of microaccelerations, Microgravity Science and Technology, 2012, V. 24, No. 5, pp. 345–350, https://doi.org/10.1007/s12217-012-9326-5.
  20. Sedelnikov A. V., The assessment problem of microaccelerations at the experimental sample of the small spacecraft “AIST” after the battery degradation and the method of its solution, Microgravity Science and Technology, 2020, V. 32, No. 4, pp. 673–679, https://doi.org/10.1007/s12217-020-09789-w.
  21. Sedelnikov A. V., Algorithm for restoring information of current from solar panels of a small spacecraft prototype “AIST” with help of normality conditions, J. Aeronautics, Astronautics, and Aviation, 2022, V. 54, No. 1, pp. 67–76, DOI: 10.6125/JoAAA.202203_54(1).05.
  22. Sedelnikov A. V., Salmin V. V., Modeling the disturbing effect on the Aist small spacecraft based on the measurements data, Scientific Reports, 2022, V. 12, Article 1300, https://doi.org/10.1038/ s41598‐022‐05367‐9.
  23. Sedel’nikov A. V., Serpukhova A. A., Simulation of a flexible spacecraft motion to evaluate microaccelerations, Russian Aeronautics, 2009, V. 52, No. 4, pp. 484–487, https://doi.org/10.3103/S1068799809040187.
  24. Sedelnikov A. V., Orlov D. I., Serdakova V. V., Nikolaeva A. S. (2023a), Investigation of the stress-strain state of a rectangular plate after a temperature shock, Mathematics, 2023, V. 11, No. 3, Article 638, DOI: 10.3390/math11030638.
  25. Sedelnikov A. V., Serdakova V. V., Orlov D. I., Nikolaeva A. S. (2023b), Investigating the temperature shock of a plate in the framework of a static two-dimensional formulation of the thermoelasticity problem, Aerospace, 2023, V. 10, No. 5, Article 445, https://doi.org/10.3390/aerospace10050445.
  26. Sedelnikov A. V., Taneeva A. S., Manukyan L. A., Estimation of the microaccelerations on an automatic rotary vibration isolation device, Space Science and Technology, 2025, V. 5, Article 0292, https://doi.org/10.34133/space.0292.
  27. Shi H. T., Abubakar M., Bai X. T., Luo Z., Vibration isolation methods in spacecraft: A review of current techniques, Advances in Space Research, 2024, V. 73, No. 8, pp. 3993–4023, DOI: 10.1016/j.asr.2024.01.020.
  28. Shibata T., Tochimoto S., Sakai S., Experimental evaluation for a contactless vibration isolator using the flux pinning effect, J. Spacecraft and Rockets, 2022, V. 59, No. 6, pp. 2017–2024, DOI: 10.2514/1.A35336.
  29. Shu S., Fang J.-C., Zhang W. et al., High-precision attitude control method based on MSCMG for large-scale remote sensing satellite, Zhongguo Guanxing Jishu Xuebao/J. Chinese Inertial Technology, 2017, V. 25, No. 4, pp. 421–431, DOI: 10.13695/j.cnki.12-1222/o4.2017.04.001.
  30. Sornalatha P., Mahesh K., Panneerselvam K., Multi-class remote sensing image retrieval using optimized convolution neural network with weighted distances, J. Indian Soc. of Remote Sensing, 2024, V. 53, pp. 1343–1358, DOI: 10.1007/s12524-024-02036-4.
  31. Tryggvason B. V., Duval W. M. B., Smith R. W. et al., The vibration environment on the international space station: its significance to fluid-based experiments, Acta Astronautica, 2001, V. 48, No. 2–3, pp. 59–70, DOI: 10.1016/S0094-5765(00)00140-5.
  32. Wang G.-Y., Zhou D.-Q., Zhao Y., Data analysis of micro-vibration on-orbit measurement for remote sensing satellite, Yuhang Xuebao/J. Astronautics, 2015, V. 36, No. 3, pp. 261–267, DOI: 10.3873/j.issn.1000-1328.2015.03.003.
  33. Wang A., Wang S., Xia H., Ma G., Dynamic modeling and control for a double-state microgravity vibration isolation system, Microgravity Science and Technology, 2023, V. 35, No. 1, Article 9, DOI: 10.1007/s12217-022-10027-8.
  34. Wu Q., Liu B., Cui N., Zhao S., Tracking control of a maglev vibration isolation system based on a high-precision relative position and attitude model, Sensors, 2019, V. 19, Article 3375, DOI: 10.3390/s19153375.
  35. Xiong Q., Ren X., Yin H. et al., SFDA-MEF: An unsupervised spacecraft feature deformable alignment network for multi-exposure image fusion, Remote Sensing, 2025, V. 17, No. 2, Article 199, DOI: 10.3390/rs17020199.
  36. Zhang X., Superresolution reconstruction of remote sensing image based on middle-level supervised convolutional neural network, J. Sensors, 2022, V. 2022, Article 2603939, DOI: 10.1155/2022/2603939.
  37. Zhang T., Yang X., Cao Q. et al., Imaging geometric simulation and vibration influence analysis of rotary scanning remote sensing satellites, Measurement, 2025, V. 242, Pt. E, Article 116108, DOI: 10.1016/j.measurement.2024.116108.
  38. Zheng C., Gao J., Liu J., Xue X., Dynamic performances of a double-layer vibration isolation system: Nonlinear modeling and experimental validation, Intern. J. Mechanical System Dynamics, 2024, V. 5, No. 1, pp. 113–128, DOI: 10.1002/msd2.12138.
  39. Zhou X., Chen W., Zhao F., Dynamic modeling and active vibration isolation of a noncontact 6-DOF Lorentz platform based on the exponential convergence disturbance observer, Shock and Vibration, 2021, V. 2021, Article 6641863, DOI: 10.1155/2021/6641863.