Paper Info
Title
Sensor measurements and image registration fusion to retrieve variations of satellite attitude
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.
Year
DOI
Venue
2010
10.1007/978-3-642-19282-1_29
ACCV (4)
Keywords
Field
DocType
2-d image,attitude variation,satellite attitude,image registration fusion,distortion free image,satellite datasets,fuse star tracker measurement,1-d image,straight motion,acquisition process,motion model,sensor measurement,observation satellite,high frequency,image registration
Computer vision,Satellite,Star tracker,Image fusion,Computer science,Sampling (signal processing),Artificial intelligence,Fuse (electrical),Polynomial and rational function modeling,Image registration,Bayesian probability
Conference
Volume
ISSN
Citations 
6495
0302-9743
1
PageRank 
References 
Authors
0.36
6
4
Name
Order
Citations
PageRank
Régis Perrier110.36
Elise Arnaud212610.05
Peter Sturm32696206.38
Mathias Ortner47810.81