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长春光学精密机械与物... [3]
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会议论文 [3]
发表日期
2011 [3]
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发表日期:2011
内容类型:会议论文
专题:长春光学精密机械与物理研究所
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Adaptive Wiener filtering with Gaussian fitted point spread function in image restoration (EI CONFERENCE)
会议论文
2011 IEEE 2nd International Conference on Software Engineering and Service Science, ICSESS 2011, July 15, 2011 - July 17, 2011, Beijing, China
Yang L.
;
Zhang X.
;
Ren J.
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浏览/下载:29/0
  |  
提交时间:2013/03/25
In the imaging process of the space remote sensing camera
there was degradation phenomenon in the acquired images. In order to reduce the image blur caused by the degradation
the remote sensing images were restored to give prominence to the characteristic objects in the images. First
the frequency-domain notch filter was adopted to remove strip noises in the images. Then using the ground characters with the knife-edge shape in the images
the point spread function of the imaging system was estimated. In order to improve the accuracy
the estimated point spread function was corrected with Gaussian fitting method. Finally
the images were restored using the adaptive Wiener filtering with the fitted point spread function. Experimental results of the real remote sensing images showed that almost all strip noises in the images were eliminated. After the denoised images were restored
its variance and its gray mean gradient increased
also its laplacian gradient increased. Restoration with Gaussian fitted point spread function is beneficial to interpreting and analyzing the remote sensing images. After restoration
the blur phenomenon of the images is reduced. The characters are highlighted
and the visual effect of the images is clearer. 2011 IEEE.
The research of the accurate measure of static transfer function for the TDI CCD camera
会议论文
2011
Li G. N.
;
Jin L. X.
;
Ren J. Y.
;
Wang W. H.
;
Han S. L.
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浏览/下载:4/0
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提交时间:2013/03/28
Precision detection of CCD splicing based on template matching algorithm (EI CONFERENCE)
会议论文
IEEE 2nd International Conference on Computing, Control and Industrial Engineering, CCIE 2011, August 20, 2011 - August 21, 2011, Wuhan, China
Yang L.
;
Zhang X.
;
Ren J.
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浏览/下载:23/0
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提交时间:2013/03/25
The remote sensing camera in large field and wide cover needs CCD with enough pixels. But the existing CCD cannot satisfy the practical needs. Therefore several pieces of CCD which has insufficient pixels are spliced to get a long CCD array with plenty of pixels. The precision requirements of CCD splicing are very strict
so that the same high accuracies are required in the precision detection of CCD splicing. When detecting precision of CCD splicing
the graphical markers with simple geometric structure in the CCD package are selected as templates. The position precision data of the graphical markers in each CCD are obtained using the template matching algorithm. Using the unified objective templates
the focal plane which has multi-chip of CCD is detected by template matching algorithm. Experiment results show that the template matching algorithm can enhance the located precision of each CCD to 0.347m. The splicing precision detection with template matching algorithm can avoid the subjective error caused by the conventional detection method. And its results are more accurate. In addition
without manual intervention in the process of precision detection
the efficiency of precision detection is improved. 2011 IEEE.
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