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推扫成像中针对细分采样累加的反降晰算法

Deblurring algorithm of oversample-cumulating in push-broom imaging system
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摘要 为了降低细分采样累加方式对线列推扫成像清晰度的影响,利用孔径函数的变换,提出了相应的反降晰方法,实现了同一个位置上的像元累加,使得推扫方向上的孔径函数和线列方向等同,消除了累加过程中像元位移的影响。在细分采样累加倍数为4的情况下,Nyquist频率处的传递函数值提高7%。通过对反降晰算法的仿真采样验证,结果表明本算法完全可以达到预定要求,算法简单,只需少量加法器,在目前的成像仪电路中稍微修改可编程芯片即可投入工程应用。 In order to eliminate the impact of oversample-cumulating method on clarity of linear push-broom imaging, with the transition of aperture function, a deblurring method was put forward to cumulate the pixel in the same sample position, thus the aperture function in push-broom direction was equal to the linear direction, and the impact of pixel shift in cumulating was eliminated. With the sample-cumulating rates of 4, at Nyquist frequency the value of pixel transfer function was increased by 7%. Through simulating oversample-cumulating test, the results show that the deblurring algorithm can be achieved. This simple algorithm only needs a small number of adders, with slightly modified FPGA codes, then the camera can be put to use.
出处 《量子电子学报》 CAS CSCD 北大核心 2008年第5期610-614,共5页 Chinese Journal of Quantum Electronics
基金 福建省青年科技人才创新项目(2007F3066) 华侨大学高层次人才科研启动金资助项目(05BS302)
关键词 遥感 反降晰 孔径函数 线列推扫 remote sensing deblurring aperture function linear push-broom
作者简介 张滢清(1979-),博士,华侨大学讲师,主要从事红外成像技术的研究。E-mail:yqzhangcn@163.com
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