1. Date of download: 6/22/2016 Copyright © 2016 SPIE. All rights reserved. Fixed pattern noise (FPN) versus blackbody temperature using the two-point algorithm for a real medium wave infrared (MWIR) detector (dots).The line represents the simulated FPN obtained as the root mean square (RMS) value of Eq. (13). Figure Legend: From: Thermal imager fixed pattern noise prediction using a characterization of the infrared detector Opt. Eng. 2014;53(12):124106. doi:10.1117/1.OE.53.12.124106

2. Date of download: 6/22/2016 Copyright © 2016 SPIE. All rights reserved. FPN versus blackbody temperature. Ts is in this case 45°C, T1 is 25°C, and T2 is 45°C. The line represents the simulated FPN obtained by calculating the RMS value of Eq. (20). Figure Legend: From: Thermal imager fixed pattern noise prediction using a characterization of the infrared detector Opt. Eng. 2014;53(12):124106. doi:10.1117/1.OE.53.12.124106

3. Date of download: 6/22/2016 Copyright © 2016 SPIE. All rights reserved. FPN simulation using Eq. (13) or using Eq. (24) computed using real data for fitting parameters or using a Gaussian simulation for nonlinearity. Figure Legend: From: Thermal imager fixed pattern noise prediction using a characterization of the infrared detector Opt. Eng. 2014;53(12):124106. doi:10.1117/1.OE.53.12.124106

4. Date of download: 6/22/2016 Copyright © 2016 SPIE. All rights reserved. Comparison of FPN simulation using Eq. (20) or using Eq. (30) computed using real data for fitting parameters or using a Gaussian simulation for instability. Figure Legend: From: Thermal imager fixed pattern noise prediction using a characterization of the infrared detector Opt. Eng. 2014;53(12):124106. doi:10.1117/1.OE.53.12.124106

5. Date of download: 6/22/2016 Copyright © 2016 SPIE. All rights reserved. Correlation plot between Aij and Bij. Figure Legend: From: Thermal imager fixed pattern noise prediction using a characterization of the infrared detector Opt. Eng. 2014;53(12):124106. doi:10.1117/1.OE.53.12.124106

6. Date of download: 6/22/2016 Copyright © 2016 SPIE. All rights reserved. FPN simulations for an MWIR detector using Eq. (27) and parameters from Table 1. Different calibration temperature spans are reported on the same graph. Figure Legend: From: Thermal imager fixed pattern noise prediction using a characterization of the infrared detector Opt. Eng. 2014;53(12):124106. doi:10.1117/1.OE.53.12.124106

7. Date of download: 6/22/2016 Copyright © 2016 SPIE. All rights reserved. FPN simulations for a long wave infrared (LWIR) detector using Eq. (27) and parameters from Table 1. Different calibration temperature spans are reported on the same graph. Figure Legend: From: Thermal imager fixed pattern noise prediction using a characterization of the infrared detector Opt. Eng. 2014;53(12):124106. doi:10.1117/1.OE.53.12.124106

8. Date of download: 6/22/2016 Copyright © 2016 SPIE. All rights reserved. FPN simulations for an MWIR detector using Eq. (30) and parameters from Table 1. Different shutter temperatures are simulated on the same graph. T1 is 25°C and T2 is 45°C. Figure Legend: From: Thermal imager fixed pattern noise prediction using a characterization of the infrared detector Opt. Eng. 2014;53(12):124106. doi:10.1117/1.OE.53.12.124106

9. Date of download: 6/22/2016 Copyright © 2016 SPIE. All rights reserved. FPN simulations for an LWIR detector using Eq. (30) and parameters from Table 1. Different shutter temperatures are reported on the same graph. T1 is 25°C and T2 is 45°C. Figure Legend: From: Thermal imager fixed pattern noise prediction using a characterization of the infrared detector Opt. Eng. 2014;53(12):124106. doi:10.1117/1.OE.53.12.124106