Paper
18 March 2021 Data acquisition and processing method of equipment radiation characteristics of MWIR
Bin Li, Lei Su, Chuanling Liu, Gang Liu, Yu Wang, Qiuping Hu, Xiaolong Rong, Weiqiang Wang, Haiying Wu, Le Zhang
Author Affiliations +
Proceedings Volume 11780, Global Intelligent Industry Conference 2020; 117801A (2021) https://doi.org/10.1117/12.2590567
Event: Global Intelligent Industry Conference 2020, 2020, Guangzhou, China
Abstract
Under the condition of information war, combat equipment is faced with the serious threat of "discovery is destruction". In the all-weather and all-day reconnaissance environment, the infrared spectrum characteristics of the target and its effective control become the key to change detectability and improve survivability.In view of the important value of infrared spectrum characteristics in battle, this paper carries out data collection and comprehensive processing of MWIR spectrum in equipment testing. Firstly, combining with typical task process, a data collection method is established, which forms a theoretical analysis, atmospheric transmission, data collection, radiometric calibration model. Then, the radiation data processing research is carried out. Taking the digital image as the original data, the radiation emittance is obtained by radiation calibration. Based on the transmittance and radiation model, the calculation method of apparent temperature is established. To verify the method proposed in this paper, combined with helicopter infrared image data, the distribution of MWIR radiation field and temperature field of the equipment during takeoff, landing and dynamic flight is obtained, reaching 5% calibration measurement accuracy.The feasibility and validity of the method are verified.In this paper, the collection and processing of infrared spectrum characteristics is a useful exploration to improve the quality and efficiency of equipment inspection capability. It has practical value for improving equipment data and fully characterizing equipment capability in the actual environment.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bin Li, Lei Su, Chuanling Liu, Gang Liu, Yu Wang, Qiuping Hu, Xiaolong Rong, Weiqiang Wang, Haiying Wu, and Le Zhang "Data acquisition and processing method of equipment radiation characteristics of MWIR", Proc. SPIE 11780, Global Intelligent Industry Conference 2020, 117801A (18 March 2021); https://doi.org/10.1117/12.2590567
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