← Back to list of papers of the 2019 EuroGNC conference

CEAS EuroGNC 2019

Improved Image Navigation and Registration (INR) Algorithms
Ahmed Aly Kamel Kamel Engineering Services, Los Angeles, USA
Abstract:
Improved image navigation and registration algorithms are presented based on Kalman filter to allow near real-time delivery operation of level 1B data blocks and LRIT/HRIT subimages (instead of a whole image) to users. Kalman filter estimates attitude correction angles, orbit position relative to ideal geostationary orbit, and internal misalignments of imagers with single mirror or two mirrors. Kalman filter measurements consist of landmarks extracted from the imaging instrument level 1A data blocks, orbit maneuver delta V or coarse orbit from flight dynamics, and spacecraft inertial angular rate telemetry inserted in the imager wideband data. The state vector most significant improvement represents the effect of scan mirror axes orthogonality misalignment angle due to thermal variation and measurement errors. This improvement is shown to be in the north-south direction and equals to the orthogonality misalignment angle multiplied by the tangent of the east-west scan angle. The improved image navigation and registration algorithms are also applicable to systems with star and landmark measurements and systems with star only measurements.
Keywords: Navigation; Optimization; Sensor systems
 View PDF CEAS-GNC-2019-023


Ahmed Aly Kamel: Improved Image Navigation and Registration (INR) Algorithms. Proceedings of the 2019 CEAS EuroGNC conference. Milan, Italy. April 2019. CEAS-GNC-2019-023.
BibTeX entry:

@Incollection{CEAS-GNC-2019-023,
    authors = {Kamel, Ahmed Aly},
    title = {Improved Image Navigation and Registration ({INR}) Algorithms},
    booktitle = {Proceedings of the 2019 {CEAS EuroGNC} conference},
    address = {Milan, Italy},
    month = apr,
    year = {2019},
    note = {CEAS-GNC-2019-023}
}