Paper
18 December 2019 Research on maneuvering imaging theory of the super agile remote sensing satellite
Author Affiliations +
Proceedings Volume 11341, AOPC 2019: Space Optics, Telescopes, and Instrumentation; 113411D (2019) https://doi.org/10.1117/12.2544946
Event: Applied Optics and Photonics China (AOPC2019), 2019, Beijing, China
Abstract
In order to achieve more imaging modes and higher imaging efficiency, the super agile remote sensing satellite is proposed and researched. Super agile remote sensing satellite can realize maneuvering imaging with large angular velocity and large angular acceleration. It has some new characteristics, such as curved imaging trail, variable imaging parameters. In this paper, the feature and theory of maneuvering imaging are studied. The analysis model of maneuvering imaging is established to precisely analyze the complicated and time-varying imaging parameters. Based the model, the change of defocus with roll angle, the change of ground sample distance with roll angle and field of view angle , the change of resultant velocity with different angular velocity, the change of line rate with angular velocity are analyzed. Then the requirements of number of TDI, the MTF of attitude stability, the MTF of synchronization error, the MTF of drift error, are precisely analyzed. The results show that the imaging parameters will change quickly with time and space. The ground sample distance changes from 0.25m to 1.62m. The resultant velocity changes from 7.05km/s to 59.41km/s. The line rate changes from 28.24 kHz to 237.68 kHz. Consequently, super agile remote sensing satellite needs higher line rate, bigger integral number, higher drift correction accuracy and higher synchronization accuracy to improve image quality of maneuvering imaging.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shaoyuan Cheng, Mu Yang, and Hongjia Jiang "Research on maneuvering imaging theory of the super agile remote sensing satellite", Proc. SPIE 11341, AOPC 2019: Space Optics, Telescopes, and Instrumentation, 113411D (18 December 2019); https://doi.org/10.1117/12.2544946
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KEYWORDS
Satellites

Remote sensing

Satellite imaging

Modulation transfer functions

Signal to noise ratio

Cameras

Spatial resolution

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