A New Accurate and Fast Algorithm of Sub-Pixel Image Registration
In terms of large field view and multi-channel TDICCD remote sensing images, previous interpolation methods and curve fitting methods are not able to achieve the high accuracy and fast registration, and their noise immunity and robustness is not high. For that, this paper presents a more accurate and faster method, iterative pixel interpolation and surface fitting method. Firstly, the method uses the some overlapping pixels between multi-channel images. Secondly, the proposed technique, which is based on the maximization of the correlation coefficient function, combines an efficient pixelmoving interpolation scheme with surface fitting, which makes use of accurate interpolation calculation and fast surface fitting in the iterative process. Finally, the accuracy and speed of the algorithm is evaluated by sub-pixel registration of multi-channel images and comparison with other sorts of efficient methods. The experiment results show that the accuracy of the method reaches 0.01 pixels and it is 3 times faster than the interpolation method. In the registration of large field view and multi-channel TDICCD images, the method is accurate and fast, with greatly high stability, noise immunity and robustness.
TDICCD large field view multi-channel iterative pixel interpolation surface fitting
Jinbo LU Bin HE
Graduate School of Changchun Institute of Optics, Fine Mechanics and Physics,Chinese Academy of Scie Changchun Institute of Optics, Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun, Chi
国际会议
2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)
北京
英文
1008-1012
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）