Preview

Russian Technological Journal

Advanced search

Mathematical modeling of velocity and accelerations fields of image motion in the optical equipment of the Earth remote sensing satellite

https://doi.org/10.32362/2500-316X-2023-11-6-47-56

Abstract

Objectives. The paper considers a satellite with an optoelectronic payload designed to take pictures of the Earth’s surface. The work sets out to develop a mathematical model for determining the dependencies between the state vector of the satellite, the state vector of the point being imaged on the Earth’s surface, and the distribution fields of the velocity vectors and accelerations of the motion of the image along the focal plane of the optoelectronic payload.

Methods. The method is based on double differentiation of the photogrammetry equation when applied to a survey of the Earth’s surface from space. For modeling the orbital and angular motion of the satellite, differential equations with numerical integration were used. The motion parameters of the Earth’s surface were calculated based on the Standards of Fundamental Astronomy software library.

Results. Differential equations of motion of the image were obtained. Verification of the developed mathematical model was carried out. The motion of the considered satellite was simulated in orbital orientation mode using an image velocity compensation model. The distribution fields of velocity vectors and accelerations of motion of the image of the Earth’s surface were constructed. The residual motion of the field of image following compensation was investigated.

Conclusions. The proposed mathematical model can be used both with an optoelectronic payload when modeling shooting modes and estimating image displacements at the design stage of a satellite, as well as at the satellite operation stage when incorporating the presented model in the onboard satellite software. The presented dependencies can also be used to construct an image transformation matrix, both when restoring an image and when obtaining a super-resolution.

About the Author

S. Yu. Gorchakov
MIREA – Russian Technological University
Russian Federation

Sergei Yu. Gorchakov, Postgraduate Student, Higher Mathematics Department, Institute of Artificial Intelligence 

78, Vernadskogo pr., Moscow, 119454


Competing Interests:

The author declares no conflicts of interest.



References

1. Gecha V.Ya., Zhilenev M.Yu., Gorchakov S.Yu., Novosеlov S.A. Formulas for calculating the kinematic parameters of the planet’s orbital survey by the spacecraft’s on-board optic imager when taking into account the required the velocity of the image motion on its photodetector. Voprosy elektromekhaniki. Trudy VNIIEM = Electromechanical Matters. VNIIEM Studies. 2019;173(6):23−32 (in Russ.). Available from URL: https://jurnal.vniiem.ru/text/173/23-32.pdf

2. Gecha V.Y., Zhilenev M.Yu., Fyodorov V.B., Khrychev D.A., Khudak Yu.I., Shatina A.V. The image speed during the optical-electronic surfacing the planet. Russ. Technol. J. 2018;6(4):65–77 (in Russ.). https://doi.org/10.32362/2500-316X-2018-6-4-65-77

3. Zhilenev M.Yu., Vintaev V.N. The formula for calculating the image motion during planet optoelectronic acquisition. Telekommunikatsii = Telecommunications. 2011;7:2−7 (in Russ.).

4. Brown E.B. V/H Image Motion in Aerial Cameras. Photogramm. Eng. 1965;31(2):308–323.

5. Gecha V.Y., Zhilenev M.Yu., Fedorov V.B., Khrychev D.A., Khudak Yu.I., Shatina A.V. Velocity field of image points in satellite imagery of planet’s surface. Russ. Technol. J. 2020;8(1):97−109 (in Russ.). https://doi.org/10.32362/2500-316X-2020-8-1-97-109

6. Kawachi D.A. Image Motion and Its Compensation for the Oblique Frame Camera. Photogramm. Eng. 1965;31(1):154–165.

7. Gorchakov S.Yu. Synthesis of program angular motions of the Earth remote sensing spacecraft with high spatial resolution. Russ. Technol. J. 2021;9(3):78–87 (in Russ.). https://doi.org/10.32362/2500-316X-2021-9-3-78-87

8. Butyrin S.A. Kinematic synthesis of the spacecraft programmed attitude motion at the earth optic-electronic survey. Izvestiya Samarskogo nauchnogo tsentra RAN = Izvestia of Samara Scientific Center of the Russian Academy of Sciences. 200;9(3):664–670 (in Russ.). Available from URL: https://cyberleninka.ru/article/n/kinematicheskiysintez-programmnogo-uglovogo-dvizheniya-kosmicheskogoapparata-pri-optiko-elektronnoy-semke-zemli/viewer

9. Mashtakov Ya., Tkachev S. Synthesis and constructing the angular motion of the remote sensing satellite for tracking the trajectory on the Earth surface. Preprinty IPM im. M.V. Keldysha = Keldysh Institute Preprints. 2014;20. 31 p. (in Russ.). Available from URL: http://library.keldysh.ru/preprint.asp?id=2014-20

10. Pavlis N.K., Holmes S.A., Kenyon S.C., Factor J.K. An Earth Gravitational Model to Degree 2160: EGM2008. Geophysic. Res. Abstracts. 10, EGU2008-A-01891, 2008, SRef ID: 1607-7962/gra/EGU2008-A-01891, EGU General Assembly.

11. Petit G., Luzum B. IERS Conventions. Frankfurt am Main, Germany: International Earth Rotation and Reference Systems Service; 2010. 179 p.

12. Canuto E., Massotti L., Montenegro C.P., Novara C., Carlucci D. Spacecraft Dynamics and Control: The Embedded Model Control Approach. Elsevier Ltd.; 2018. 779 p. https://doi.org/10.1016/C2016-0-00420-5

13. Bangert J., Bell S., Capitaine N. SOFA Tools for Earth Attitude. International Astronomical Union; 2021. 157 p.

14. Bangert J., Bell S., Capitaine N. SOFA Time Scale and Calendar Tools. International Astronomical Union; 2021. 67 p.

15. Urmaev M. Kosmicheskaya fotogrammetriya (Space photogrammetry). Moscow: Nedra; 1989. 278 p. (in Russ.). ISBN 5-247-01273-9


Supplementary files

1. Verification of the model
Subject
Type Исследовательские инструменты
View (49KB)    
Indexing metadata ▾
  • A mathematical model for determining the dependencies between the state vector of the satellite, the state vector of the point being imaged on the Earth’s surface, and the distribution fields of the velocity vectors and accelerations of the motion of the image along the focal plane of the optoelectronic payload was developed.
  • The proposed mathematical model can be used both with an optoelectronic payload when modeling shooting modes and estimating image displacements at the design stage of a satellite, as well as at the satellite operation stage when incorporating the presented model in the onboard satellite software.

Review

For citations:


Gorchakov S.Yu. Mathematical modeling of velocity and accelerations fields of image motion in the optical equipment of the Earth remote sensing satellite. Russian Technological Journal. 2023;11(6):47-56. https://doi.org/10.32362/2500-316X-2023-11-6-47-56

Views: 526


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2782-3210 (Print)
ISSN 2500-316X (Online)