红外遥感相机成像参数优化研究

Imaging parameters optimization research of infrared remote sensing camera

为了更好地优化红外遥感相机成像参数,文章首次提出信噪比-动态范围积相机性能综合评价指标。建立了红外遥感相机的噪声电压模型并深入分析噪声影响,当恒定噪声电压项远大于时变噪声电压项时噪声电压模型可以近似简化为线性模型。进而建模分析了积分电容和积分时间对信噪比和动态范围的影响,并首次提出信噪比-动态范围积作为相机性能评价的指标。信噪比-动态范围积随着积分时间同步增大,积分时间较小时增速较快,积分时间较大时增速迅速下降;信噪比-动态范围积随着积分电容的增大先增加后减小,存在极值。研究结果对红外遥感相机的参数优化设计具有重要作用。

In order to optimize the imaging parameters of infrared remote sensing cameras,a comprehensive evaluation index of signal to noise ratio dynamic range product camera performance is proposed in this paper for the first time.A noise voltage model for infrared remote sensing cameras is established and in depth analysis of the impact of noise is conducted.When the constant noise voltage is much greater than the time varying noise voltage,the noise voltage model can be approximately simplified into a linear model.Furthermore,the influence of integrating capacitance and integrating time on signal to noise ratio and dynamic range is modeled and analyzed,and for the first time,the signal to noise ratio dynamic range product is proposed as an indicator for camera performance evaluation.The signal to noise ratio dynamic range product increases synchronously with the integration time,with a faster growth rate when the integration time is smaller,and a rapid decrease in growth rate when the integration time is larger.The signal to noise ratio dynamic range product increases first and then decreases with the increase of the integral capacitance,and there is an extreme value.The research results play an important role in the parameter optimization design of infrared remote sensing cameras.