Sensor measurements and image registration fusion to retrieve variations of satellite attitude

Régis Perrier 1 Elise Arnaud 2 Peter Sturm 1 Mathias Ortner 3
1 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
2 STEEP - Sustainability transition, environment, economy and local policy
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann
Abstract : Observation satellites use pushbroom sensors to capture images of the earth. These linear cameras acquire 1-D images over time and use the straight motion of the satellite to sweep out a region of space and build 2-D images. The stability of the imaging platform is crucial during the acquisition process to guaranty distortion free images. Positioning sensors are used to control and rectify the attitude variations of the satellite, but their sampling rate is too low to provide an accurate estimate of the motion. In this paper, we describe a way to fuse star tracker measurements with image registration in order to retrieve the attitude variations of the satellite. We introduce first a simplified motion model where the pushbroom camera is rotating during the acquisition of an image. Then we present the fusion model which combines low and high frequency informations of respectively the star tracker and the images; this is embedded in a Bayesian setting. Lastly, we illustrate the performance of our algorithm on three satellite datasets.
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https://hal.inria.fr/inria-00523996
Contributor : Peter Sturm <>
Submitted on : Wednesday, October 6, 2010 - 7:14:54 PM
Last modification on : Wednesday, April 11, 2018 - 1:58:07 AM

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Régis Perrier, Elise Arnaud, Peter Sturm, Mathias Ortner. Sensor measurements and image registration fusion to retrieve variations of satellite attitude. ACCV 2010 - 10th Asian Conference on Computer Vision, Nov 2010, Queenstown, New Zealand. pp.361-372, ⟨10.1007/978-3-642-19282-1_29⟩. ⟨inria-00523996⟩

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