低曝光条件下遥感相机微振动量检测

乐国庆; 郭永飞; 刘春香; 马天波; 石俊霞

doi:10.3788/CO.20140706.0917

Volume 7 Issue 6

Nov. 2014

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Article Contents

Chinese Optics > 2014 > 7(6): 917-924.

LE Guo-qing, GUO Yong-fei, LIU Chun-xiang, MA Tian-bo, SHI Jun-xia. Micro-vibration detection of remote sensing camera under low exposure condition[J]. Chinese Optics, 2014, 7(6): 917-924. doi: 10.3788/CO.20140706.0917

Citation:

LE Guo-qing, GUO Yong-fei, LIU Chun-xiang, MA Tian-bo, SHI Jun-xia. Micro-vibration detection of remote sensing camera under low exposure condition[J]. Chinese Optics, 2014, 7(6): 917-924. doi: 10.3788/CO.20140706.0917

Citation:

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Micro-vibration detection of remote sensing camera under low exposure condition

doi: 10.3788/CO.20140706.0917

1.
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China;
2.
University of Chinese Academy of Sciences, Changchun 130033, China

Received Date: 22 Sep 2014
Rev Recd Date: 25 Nov 2014
Publish Date: 25 Nov 2014

Abstract

Abstract

To deal with the effect of flutter of carrying platform on remote sensing camera, motion estimation algorithm can be used to the image sequences taken by auxiliary high-speed array CCD camera during exposure to estimate the vibration. Pixel binnng is proposed to compensate the time of exposure and to improve the brightness and contrast as well as SNR of the images. And a region selection algorithm is used to select the image region by which we can estimate the displacement using gray projection algorithm. The experiment results show that the error is 1 pixel by utilizing the improved algorithm, which greatly enhance the accuracy and stability.
- remote sensing camera,
- micro-vibration detection,
- motion estimation,
- gray projection algorithm

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References

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