Fast radiometric calibration and measurement technology based on distance correction in infrared systems

Infrared radiometric measurements can acquire important data for infrared systems. Radiometric calibration is the foundation of the measurement process. Considering the calibration issues such as gray-level drift, cumbersome calibration procedures, excessive calibration points, and high time costs in the infrared radiation measurement system when the detection distance changes, in this paper, we proposed a novel technique for fast radiometric calibration and measurement in target infrared imaging systems. First, a linear response model that correlated target radiation input with system gray value output was established. This model improves the subsequent measurement accuracy via blackbody radiometric calibration. Second, to compensate for radiation attenuation in the path and improve the measurement accuracy of the system, a radiometric calibration model based on two-test-distances was proposed. Finally, to improve the efficiency of system drift compensation, a fast radiometric calibration model was proposed by combining the radiometric calibration considering the integration time and a radiometric calibration model based on two-test-distances. The key advantage of the proposed method is that it enhances measurement accuracy by correcting the radiance measured at various test distances. The experimental results showed that the proposed method improved the calibration efficiency and measurement accuracy of the infrared radiation system. The proposed method enables measurements at different integration times and testing distances.