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

乐国庆 Le Guo-Qing, 郭永飞 Guo Yong-fei, 刘春香 Liu Chun-xiang, 马天波 Ma Tian-bo, 石俊霞 Shi Jun-xia
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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.
低曝光条件下遥感相机微振动检测
为了解决承载平台颤振对遥感相机的影响,可以对辅助高速阵列CCD相机在曝光过程中拍摄的图像序列进行运动估计算法来估计振动。为了补偿曝光时间,提高图像的亮度、对比度和信噪比,提出了像素分割的方法。采用区域选择算法对图像区域进行选择,然后利用灰度投影算法对图像区域进行位移估计。实验结果表明,改进后的算法误差为1个像素,大大提高了算法的精度和稳定性。
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