A Method Based on Blackbody to Estimate Actual Radiation of Measured Cooperative Target Using an Infrared Thermal Imager
Source abstract
Abstract
Infrared signature of targets is one important approach for target detection and recognition. When measuring the infrared signature of a target in the atmosphere, it is necessary to take the atmospheric transmittance and atmospheric radiation between the measured target and the observer into account. In this study, a blackbody-based approach for estimating atmospheric transmittance and atmospheric radiation is proposed to improve accuracy. Radiometric calibration is first carried out in the laboratory for the infrared thermal imager to determine the slope and offset used in the linear regression. With a set of different temperatures, radiance of the blackbody and digital number value of images are calculated. Finally, according to the analytical expressions derived, the atmospheric transmittance and atmospheric radiation are determined, and actual radiance for the cooperative target is calculated. Results demonstrate that the uncertainty of the actual radiance of measured cooperative target calculated via the proposed method is lower than that by MODTRAN, from MODTRAN at 5.7% and 16.7%, from proposed method at 2.56% and 10.2% in two experiments.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Infrared Target Detection Methodologies · Calibration and Measurement Techniques · Atmospheric aerosols and clouds
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
Agricultural Hyperspectral Application & Information Database, Changchun 130033, China
Key Laboratory of Airborne Optical Imaging and Measurement, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
Funding
Science and Technology Resources Shared Services Platform Construction of JiLin Province
References (22)
Show source-provided references
1. Jacobs, A. (1996). Thermal Infrared Characterization of Ground Targets and Backgrounds, SPIE Optical Engineering Press.
2. Infrared signature studies of aerospace vehicles10.1016/j.paerosci.2007.06.002 ↗
3. Zhao, B., Xiao, S., Lu, H., and Wu, D. (2017, January 14–16). Modeling and simulation of infrared signature of remote aerial targets. Proceedings of the 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), Shanghai, China.10.1109/CISP-BMEI.2017.8302109 ↗
4. The research on the effect of atmospheric transmittance for the measuring accuracy of infrared thermal imager10.1016/j.infrared.2016.06.025 ↗
5. Leslie, P., Furxhi, O., Short, R., Grimming, R., and Driggers, R. (2021, January 2–4). Mid-Wave and Long-Wave Infrared Signature Model and Measurements of Power Lines Against Atmospheric Path Radiance. Proceedings of the 2021 IEEE Research and Applications of Photonics in Defense Conference (RAPID), Miramar Beach, FL, USA.10.1109/RAPID51799.2021.9521422 ↗
6. Spectral selectivity in infrared thermal detection10.1038/lsa.2012.24 ↗
7. Absolute Radiometric Calibration of Earth Radiation Measurement on FY-3B and Its Comparison With CERES/Aqua Data10.1109/TGRS.2012.2202668 ↗
8. Theoretical studies of infrared signatures of proton-bound amino acid dimers with homochiral and heterochiral moieties10.1002/chir.23165 ↗
9. A Simulation Method of Aircraft Infrared Signature Measurement with Subscale Models10.1016/j.procs.2019.01.177 ↗
10. Modeling of aircraft infrared signature based on comparative tracking10.1016/j.ijleo.2020.165782 ↗
11. An improved SHDOM coupled with CFD for simulating infrared radiation signatures of rocket plumes10.1016/j.infrared.2022.104054 ↗
12. Spinning projectile’s attitude measurement with LW infrared radiation under sea-sky background10.1016/j.infrared.2018.03.017 ↗
13. Parametric design and IR signature study of exhaust plume from elliptical-shaped exhaust nozzles of a low flying UAV using CFD approach10.1016/j.rineng.2021.100320 ↗
14. Infrared signature of serpentine nozzle with engine swirl10.1016/j.ast.2019.01.057 ↗
15. IR signature estimation of an object or a target by taking into account atmospheric effects10.1016/j.optcom.2010.06.006 ↗
16. Berk, A., Anderson, G.P., Bernstein, L.S., Acharya, P.K., Dothe, H., Matthew, M.W., Adler-Golden, S.M., Chetwynd, J.H., Richtsmeier, S.C., and Pukall, B. (1999, January 18–23). MODTRAN4 radiative transfer modeling for atmospheric correction. Proceedings of the SPIE’s International Symposium on Optical Science, Engineering, and Instrumentation, Denver, CO, USA.10.1117/12.366388 ↗
17. Combined Use of Blackbody and Infrared Radiation for Accurate Measurement of Temperature Field of Aluminum Alloys10.1016/j.ijleo.2022.169763 ↗
18. The study on the measurement accuracy of non-steady state temperature field under different emissivity using infrared thermal image10.1016/j.infrared.2018.09.022 ↗
19. A method for improving temperature measurement precision on the uncooled infrared thermal imager10.1016/j.measurement.2015.07.016 ↗
20. Radiometric calibration algorithm for high dynamic range infrared imaging system10.1016/j.infrared.2023.104607 ↗
21. Pixel-wise radiometric calibration approach for infrared focal plane arrays using mul-tivariate polynomial correction10.1016/j.infrared.2022.104110 ↗
22. High-efficiency non-uniformity correction for wide dynamic linear infrared radiometry system10.1016/j.infrared.2017.08.004 ↗