Abstract
The imaging prediction problems for satellite Earth observing missions are discussed. The imaging opportunities are first distinguished from the nadir tracking points with maximum elevation angles. A fast prediction approach is then presented, consisting of three steps: the coarse search, the imaging estimation, and the imaging refinement. Innovative algorithms are developed to complete the appropriate estimation and refinement tasks for different working modes, considering both a canted camera and available attitude maneuvers. The algorithms are evaluated through computational experiments and further tested with applications in practical satellite mission management. Further applications include in-orbit real-time autonomous mission management and operations onboard satellites.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
