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作 者:蔡静[1] 张学聪[1] 杨永军[1] 王仲杰[2] 吉陈力[2] CAI Jing;ZHANG Xuecong;YANG Yongjun;WANG Zhongjie;JI Chenli(Aviation Industry Corporation of China Changcheng Institute of Metrology & Measurement,Beijing 100095, China;Chinese Flight Test Establishment, Xi'an 710089, China)
机构地区:[1]中国航空工业集团公司北京长城计量测试技术研究所,北京100095 [2]中国飞行试验研究院,西安710089
出 处:《兵器装备工程学报》2019年第A01期217-221,共5页Journal of Ordnance Equipment Engineering
摘 要:采用张氏矫正法对镜头畸变进行矫正,温度场图像与目标对应位置的重合度可达95%以上;采用两点标定法和神经网络法结合的综合法对图像非均匀性矫正,能够显著减小由于CCD像素不一致导致的测温误差,像素点最大温度测量误差从2%减小到0.5%。This thesis focused on the research of multi-spectrum thermometry image distortion and non-uniformity correction based on the characteristic of single CCD transient imaging multi-spectrum thermometry. A distortion correction based on Zhang calibration was used to rectify the lens distortion. A non-uniformity correction combined two-point calibration with neural network was carried out to rectify the non-uniform images. Compared the images before and after correction, the distortion calibration method used in this thesis can decrease the error between the field image and the target location,the coincidence is up to 95%. The comparison of the images before and after non-uniformity correction illustrates that the non-uniformity correction used in this thesis can reduce the temperature measurement error caused by CCD pixel conformance differences observably, the error decreases from 2% to 0.5%.
分 类 号:TJ06[兵器科学与技术—兵器发射理论与技术]
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