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CCD数字像元的合并方法及其应用

发布时间:2018-06-24 20:28

  本文选题:星载光谱仪 + 差分吸收光谱仪 ; 参考:《光学精密工程》2017年08期


【摘要】:星载差分吸收光谱仪中的科学级帧转移型电荷耦合器件(CCD)通常使用四行像元合并(4-Binning)方法提升载荷的信噪比,但该方法仅能工作在目标光强较弱的环境。为使载荷适应目标光线较强的环境,设计了数字像元合并方法(4-AVR)来提升载荷的探测能力。考虑相对常规的4-Binning方法,4-AVR方法会产生CCD信号衰减现象,故对这一现象进行了理论分析,得到由于CCD读出速率导致的信号衰减系数为0.699。在实验室搭建了测试装置,验证了上述结果,结果表明,4-AVR方法下获取的CCD像素值相对于4-Binning方法获取的像素值的衰减系数为0.698,从而证实了理论分析的正确性。实验显示,使用这一系数可完成对4-AVR方式下获取的像素值的校正,从而实现两种方法的无差别化。将校正方法作为载荷一级数据处理的一部分,进行了大气痕量气体的反演测试。结果表明数字像元合并方法可保证大气痕量气体的反演精度,进一步验证了数字像元合并方法的可靠性。
[Abstract]:In the space-borne differential absorption spectrometer, the 4-line pixel combination (4-Binning) method is usually used to improve the signal-to-noise ratio (SNR) of the load, but the method can only work in the environment where the target light intensity is weak. In order to adapt the load to the environment where the target light is strong, a digital pixel merging method (4-AVR) is designed to improve the detection capability of the load. Considering the phenomenon of CCD signal attenuation caused by 4-Binning method and 4-AVR method, the signal attenuation coefficient caused by CCD readout rate is 0.699. A testing device was set up in the laboratory to verify the above results. The results show that the attenuation coefficient of the CCD pixel value obtained by the 4-AVR method is 0.698 compared with the pixel value obtained by the 4-Binning method, which verifies the correctness of the theoretical analysis. The experimental results show that this coefficient can be used to correct the pixel values obtained in 4-AVR mode, so that the two methods have no difference. The correction method is used as part of the first order data processing of the payload, and the atmospheric trace gas inversion test is carried out. The results show that the digital pixel merging method can ensure the retrieval accuracy of atmospheric trace gases and further verify the reliability of the digital pixel merging method.
【作者单位】: 中国科学院安徽光学精密机械研究所;中国科学技术大学;
【基金】:国家自然科学基金资助项目(No.41275037) 安徽省自然科学基金资助项目(No.1408085MKL49) 安徽省杰出青年科学基金资助项目(No.1308085JGD03)
【分类号】:TN386.5;TP73


本文编号:2062814

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