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.