Analytical field-of-regard representation for rapid and accurate prediction of agile satellite imaging opportunities

Huijiang Wang; Chao Han; Xiucong Sun

doi:10.1117/1.JATIS.5.3.037001

5 June 2019 Analytical field-of-regard representation for rapid and accurate prediction of agile satellite imaging opportunities

Huijiang Wang, Chao Han, Xiucong Sun

Author Affiliations +

Journal of Astronomical Telescopes, Instruments, and Systems, Vol. 5, Issue 3, 037001 (June 2019). https://doi.org/10.1117/1.JATIS.5.3.037001

Abstract

Agile Earth observation satellites (AEOSs) possess high-attitude maneuverability and achieve better efficiency than traditional platforms in imaging missions. Onboard mission scheduling of agile satellites requires rapid and accurate prediction of imaging opportunities. This problem has not yet been fully investigated in the previous literature. Our study presents a precise analytical model for field-of-regard (FoR) representation of agile satellites and applies a self-adaptive Hermite interpolation technique for rapid determination of imaging opportunities. The FoR of an agile satellite is regarded as a large virtual field-of-view (FoV) synthesized from infinite instantaneous FoVs of onboard camera corresponding to all possible orientations of agile satellite within limits of maximum maneuverability. Analytical equations of the bounding envelope of the FoR are formulated through quadratic curve fitting. Visibility criteria of the analytical FoR model are derived and piecewise cubic polynomials featured with autonomous searching for interpolation points are used to approximate the visibility functions. Numerical simulations show that the analytical FoR model approximates the truth model with an accuracy of better than 99%. In addition, the self-adaptive algorithm significantly reduces the computational cost for imaging opportunity determination compared to traditional trajectory checking method.

Citation Download Citation

Huijiang Wang, Chao Han, and Xiucong Sun "Analytical field-of-regard representation for rapid and accurate prediction of agile satellite imaging opportunities," Journal of Astronomical Telescopes, Instruments, and Systems 5(3), 037001 (5 June 2019). https://doi.org/10.1117/1.JATIS.5.3.037001

Received: 11 January 2019; Accepted: 15 May 2019; Published: 5 June 2019

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available