研究目的
To study the influence of higher calibration temperature on the Non-Uniformity Correction (NUC) quality in a Long Wave Infrared Focal Plane Array (LWIR FPA).
研究成果
The calibration process of a LWIR FPA is significantly influenced by the higher reference temperature (THot). Higher THot values (above 310K) improve FPA characteristics such as uniformity and reduce noise, leading to better image quality. However, lower THot values increase noise and decrease uniformity. Future work could explore varying TCold and other FPA parameters to further optimize the calibration process.
研究不足
The study is limited by the fixed lower calibration temperature (TCold) and the inability to reach high enough temperatures with the blackbody to find the saturation level of the FPA. Additionally, the analysis does not account for variations in other FPA parameters such as Integration time, reference bias, and FPA temperature.
1：Experimental Design and Method Selection:
The study involves evaluating the response and image resolution parameters of a LWIR FPA by varying the higher calibration temperature (THot) while keeping the lower temperature (TCold) fixed at 288K. The methodology includes calculating bad pixels, uniformity, Signal Transfer Function (SiTF), and Noise Equivalent Temperature Difference (NETD) for different THot values.
2：8K. The methodology includes calculating bad pixels, uniformity, Signal Transfer Function (SiTF), and Noise Equivalent Temperature Difference (NETD) for different THot values.
Sample Selection and Data Sources:
2. Sample Selection and Data Sources: A 384x288 pixel LWIR FPA is used, illuminated by an extended area blackbody at two known temperatures (TCold and THot).
3：List of Experimental Equipment and Materials:
The setup includes a LWIR FPA, an extended area blackbody, and parameters such as Gain, Integration time, Bias, and FPA temperature stability are fixed.
4：Experimental Procedures and Operational Workflow:
The procedure involves setting the FPA parameters, illuminating the FPA at TCold and varying THot, recording frames to evaluate average and deviation in response, calculating bad pixels, uniformity, SiTF, and NETD for each THot, and analyzing real pictures for image quality.
5：Data Analysis Methods:
Statistical analysis is performed to calculate SiTF, NETD, and uniformity. Bad pixels are identified based on predefined conditions, and their impact on image quality is assessed.
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