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作 者:闫勇刚[1] 王耿[1] 彭志勇[2] 张登攀[1] 魏绍亮 李晨博 Yan Yonggang;Wang Geng;Peng Zhiyong;Zhang Dengpan;Wei Shaoliang;Li Chenbo(School of Mechanical and Power Engineering,Henan Polytechnic University,Jiaozuo 454003,China;Tianjin Jinhang Technical Physics Institute,Tianjin 300300,China;Beijing Electro-Mechanical Engineering Institute,Beijing 100074,China)
机构地区:[1]河南理工大学机械与动力工程学院,焦作454003 [2]天津津航技术物理研究所,天津300300 [3]北京机电工程研究所,北京100074
出 处:《电子测量与仪器学报》2022年第7期170-176,共7页Journal of Electronic Measurement and Instrumentation
基 金: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。
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。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.
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
分 类 号:TN216[电子电信—物理电子学]
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