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长春光学精密机械与物... [2]
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会议论文 [2]
发表日期
2010 [2]
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A new accurate and fast algorithm of sub-pixel image registration (EI CONFERENCE)
会议论文
2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China
Lu J.
;
He B.
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浏览/下载:17/0
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提交时间:2013/03/25
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 pixel-moving 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. 2010 IEEE.
A new research of sub-pixel level accuracy of TDICCD remote sensing image registration (EI CONFERENCE)
会议论文
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Lu J.
;
He B.
;
Cong Y.
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提交时间:2013/03/25
In the field of remote sensing imaging
TDICCD remote sensing images have a lot of their own characteristics
such as high-resolution
large amount of information
less overlapping parts of pixels
additional image blurring etc. Therefore
there exist many difficulties
especially in terms of high-accuracy registration of pairs of images. For that
this paper presents two new pixel interpolation method for sub-pixel level registering images that allows for scaling
translation and rotation. The proposed technique
which is based on the maximization of the correlation coefficient function
combines an efficient pixel-moving interpolation scheme with surface fitting
which greatly reduces the overall computational cost. The accuracy of the algorithm is evaluated by calculating correlation coefficient of couples of points belonging to images transformed with preset factors and also comparing it to other sorts of methods. The experiment results show that the accuracy of registration reaches 0.01 pixels. 2010 IEEE.
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