TY - GEN
T1 - Wavelet-based image registration
AU - Paulson, Christopher
AU - Ezekiel, Soundararajan
AU - Wu, Dapeng
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2010
Y1 - 2010
N2 - Image registration is a fundamental enabling technology in computer vision. Developing an accurate image registration algorithm will significantly improve the techniques for computer vision problems such as tracking, fusion, change detection, autonomous navigation. In this paper, our goal is to develop an algorithm that is robust, automatic, can perform multi-modality registration, reduces the Root Mean Square Error (RMSE) below 4, increases the Peak Signal to Noise Ratio (PSNR) above 34, and uses the wavelet transformation. The preliminary results show that the algorithm is able to achieve a PSNR of approximately 36.7 and RMSE of approximately 3.7. This paper provides a comprehensive discussion of wavelet-based registration algorithm for Remote Sensing applications. © 2010 Copyright SPIE - The International Society for Optical Engineering.
AB - Image registration is a fundamental enabling technology in computer vision. Developing an accurate image registration algorithm will significantly improve the techniques for computer vision problems such as tracking, fusion, change detection, autonomous navigation. In this paper, our goal is to develop an algorithm that is robust, automatic, can perform multi-modality registration, reduces the Root Mean Square Error (RMSE) below 4, increases the Peak Signal to Noise Ratio (PSNR) above 34, and uses the wavelet transformation. The preliminary results show that the algorithm is able to achieve a PSNR of approximately 36.7 and RMSE of approximately 3.7. This paper provides a comprehensive discussion of wavelet-based registration algorithm for Remote Sensing applications. © 2010 Copyright SPIE - The International Society for Optical Engineering.
KW - Image registration
KW - Multi-modality
KW - Remote sensing
KW - Wavelets
UR - https://www.scopus.com/pages/publications/77953259017
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-77953259017&origin=recordpage
U2 - 10.1117/12.851210
DO - 10.1117/12.851210
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9780819481689
VL - 7704
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Evolutionary and Bio-Inspired Computation: Theory and Applications IV
T2 - Evolutionary and Bio-Inspired Computation: Theory and Applications IV
Y2 - 7 April 2010 through 8 April 2010
ER -