闫勇刚,王 耿,彭志勇,张登攀,魏绍亮,李晨博.红外焦平面阵列非均匀性校正性能的联合评价[J].电子测量与仪器学报,2022,36(7):170-176
红外焦平面阵列非均匀性校正性能的联合评价
Joint assessment of non-uniformity correctionperformance of infrared focal plane array
  
DOI:
中文关键词:  非均匀性校正  性能评价  红外焦平面阵列  海上场景  红外光学系统
英文关键词:non-uniformity correction  performance test  infrared focal plane array  sea scene  infrared imaging system
基金项目:国家自然科学基金(51775174)、河南省科技攻关项目(212102210323,202102210082)、河南理工大学博士基金(B2017 32)项目资助
作者单位
闫勇刚 1. 河南理工大学机械与动力工程学院 
王 耿 1. 河南理工大学机械与动力工程学院 
彭志勇 2. 天津津航技术物理研究所 
张登攀 1. 河南理工大学机械与动力工程学院 
魏绍亮 1. 河南理工大学机械与动力工程学院 
李晨博 3. 北京机电工程研究所 
AuthorInstitution
Yan Yonggang 1. School of Mechanical and Power Engineering, Henan Polytechnic University 
Wang Geng 1. School of Mechanical and Power Engineering, Henan Polytechnic University 
Peng Zhiyong 2. Tianjin Jinhang Technical Physics Institute 
Zhang Dengpan 1. School of Mechanical and Power Engineering, Henan Polytechnic University 
Wei Shaoliang 1. School of Mechanical and Power Engineering, Henan Polytechnic University 
Li Chenbo 3. Beijing Electro-Mechanical Engineering Institute 
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中文摘要:
      凝视红外焦平面阵列(IRFPA)的非均匀性已成为制约红外光学系统成像质量的关键因素。 针对自适应类非均匀性校 正性能评价问题,提出一种非均匀性校正性能联合测试方法;结合 3 种典型海上场景,探讨自适应类算法校正性能效果评价;构 建校正性能联合测试系统,在海面场景、海天场景和天空场景的输入条件下算法收敛时间分别为 16、18 和 15 s,小于传统自适 应算法的 20 s;在海面场景输入下,算法校正精度为 0. 28%,低于其他自适应算法的 0. 6%,有效温度范围为 19 ~ 31 ℃ ;在天空 场景输入下,算法校正后 NETD 为 87 mK。 实验结果表明,相较于传统的单一自适应校正算法,所提出的联合处理方法能够在 保证 NETD 的情况下,有效提高 IRFPA 非均匀性校正性能;也反映了 IRFPA 非均匀性校正算法能够改善红外光学成像系统 质量。
英文摘要:
      Infrared focal plane array (IRFPA) non-uniformity correction (NUC) problem of staring infrared imaging system is the key issue that affects the imaging quality. To assess NUC performance based on self-adaption scenes, a joint test method was developed successfully, and was analyzed using three typical scenes as a test scenario. A joint test system was built further. The convergence time was respectively 16, 18 and 15 s at the frame frequency of 50 Hz; the correction accuracy was 0. 28%, respectively lower than 20 s and 0. 6% by the traditional algorithm, and the effective temperature was in the range of 19 ℃ and 31 ℃ with the input of sea scene; the corrected noise-equivalent temperature difference ( NETD) was 87 mK. The experimental results show that the proposed joint test method, compared with the traditional self-adaption correction algorithm, can evaluate the NUC performance of IRFPA availably, and the NUC algorithm of IRFPA can improve the imaging quality of infrared imaging system.
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