Acta Optica Sinica, Volume. 40, Issue 18, 1828002(2020)

Theoretical Model on Geosynchronous Orbit Object Imaging with Space-Borne Synthetic Aperture Ladar

Debin Wang1,2, Jin Wu1,2、*, Tong Wu1,2, and Jiayi Ke1,2
Author Affiliations
  • 1Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
  • 2School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
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    Geosynchronous orbit (GEO) space is an ideal place for the synthetic aperture ladar (SAL) technology because there is no atmospheric interference and no attenuation and wavefront distortion during beam transmission in it. A space-borne SAL can provide the optical image of a GEO target with ultra-diffraction-limited resolution. To realize this aim, we establish the theoretical model of space-borne SAL imaging based on optical heterodyne detection and investigate the imaging data processing methods related to the orbital parameters, using the three-dimensional coordinate relationship between the space-borne SAL and the GEO target moving along different circular orbits around the earth's core under the effect of universal gravitation. The research results show that the space-borne SAL can produce super-diffraction-limit imaging of a GEO target using the gravitational orbital motion. Besides, the changes of orbit radius, orbital plane angle and imaging position show certain influence on the processing of imagining data, reduce imaging resolution and result in the geometric deformation of the focused image. Moreover, the position near the intersection points is the best position for space-borne SAL imaging, where the distance between the space-borne SAL and the GEO target is small, and thus the geometric deformation of focused images is small and the imaging resolution is high.

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    Debin Wang, Jin Wu, Tong Wu, Jiayi Ke. Theoretical Model on Geosynchronous Orbit Object Imaging with Space-Borne Synthetic Aperture Ladar[J]. Acta Optica Sinica, 2020, 40(18): 1828002

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Mar. 2, 2020

    Accepted: Jun. 9, 2020

    Published Online: Aug. 28, 2020

    The Author Email: Wu Jin (jwu@mail.ie.ac.cn)

    DOI:10.3788/AOS202040.1828002

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