An Image Registration Approach for Accurate Satellite Attitude Estimation

Authors:
Alessandro Bevilacqua;Ludovico Carozza;Alessandro Gherardi
Affiliations:
ARCES - Advanced Research Centre on Electronic Systems, University of Bologna, Bologna, Italy 40125;ARCES - Advanced Research Centre on Electronic Systems, University of Bologna, Bologna, Italy 40125;ARCES - Advanced Research Centre on Electronic Systems, University of Bologna, Bologna, Italy 40125
Venue:
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Year:
2009

Citing 9
Cited 0

Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography

Communications of the ACM
Multiple View Geometry in Computer Vision

Multiple View Geometry in Computer Vision
Obstacle avoidance and navigation in the real world by a seeing robot rover

Obstacle avoidance and navigation in the real world by a seeing robot rover
Distinctive Image Features from Scale-Invariant Keypoints

International Journal of Computer Vision
Speeded-Up Robust Features (SURF)

Computer Vision and Image Understanding
Vision-Based Odometry and SLAM for Medium and High Altitude Flying UAVs

Journal of Intelligent and Robotic Systems
An iterative image registration technique with an application to stereo vision

IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
A Novel Vision-Based Approach for Autonomous Space Navigation Systems

ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Extension of phase correlation to subpixel registration

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Satellites are controlled by an autonomous guidance system that corrects in real time their attitude according to information coming from ensemble of sensors and star trackers. The latter estimate the attitude by continuously comparing acquired image of the sky with a star atlas stored on board. Beside being expensive, star trackers undergo the problem of Sun and Moon blinding, thus requiring to work jointly with other sensors. The novel vision based system we are investigating is stand alone and based on an earth image registration approach, where the attitude is computed by recovering the geometric relation between couple of subsequent frames. This results in a very effective stand alone attitude estimation system. Also, the experiments carried out on images sampled by a satellite image database prove the high accuracy of the image registration approach for attitude estimation, consistent with application requirements.