Research on Infrared Radiation Calibration Method Based on High Performance Parallel Computing

Infrared radiometric calibration is a method to establish the relationship between the numerical quantized value of the imaging spectrum and the radiance brightness value of the target spectrum, and the calibration of the measured spectrum is an essential link in quantitative analysis. In practical applications, due to the instrument’s stability and the influence of the atmospheric environment on the instrument, the calibration results are not well evaluated. In order to quantitatively assess the results of the radiometric calibration of blackbody data at different temperatures, we propose to quantitatively analyze the accuracy of the calibration results based on the noise equivalent spectral radiance (NESR). Taking the self-developed long-wave infrared hyperspectral imaging telemetry system as an example, the algorithm of the relationship between NESR and spectral signal-to-noise ratio (SNR) is parallel optimized based on OpenCL, which can accelerate the calculation of the value of NESR. The theory can be applied to the real-time determination of the radiometric calibration results of the imaging spectrometer. When the radiation calibration is complete, the calibration can be judged as good or bad immediately so as to improve the quality of the bright-temperature data, which has practical significance for further analyzing the telemetry gas.