Improving the Performance of Projection-Based Image Registration

Authors

Matthew D. Sambora, Air Force Institute of Technology
Richard K. Martin, Air Force Institute of TechnologyFollow

Document Type

Conference Proceeding

Publication Date

3-1-2008

Abstract

Excerpt: This paper describes a method that exploits the statistical properties of images with significant autocorrelation to improve the performance of projection-based image registration algorithms. The algorithm is shown to operate in low SNR conditions and to significantly improve registration performance by as much as a factor of 4 in mean squared error over existing projection-based registration algorithms at a minimal computational cost. Abstract © IEEE.

Comments

Copyright © 2008, IEEE

The full conference paper is available from IEEE by subscription or purchase, using the DOI link below.

Co-author M. Sambora was an AFIT PhD candidate at the time of this conference. (AFIT-DCE-ENG-08-14, June 2008)

DOI

10.1109/AERO.2008.4526394

Source Publication

2008 IEEE Aerospace Conference

Recommended Citation

M. D. Sambora and R. K. Martin, "Improving the Performance of Projection-Based Image Registration," 2008 IEEE Aerospace Conference, Big Sky, MT, USA, 2008, pp. 1-8, doi: 10.1109/AERO.2008.4526394.