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1. 中国科学院 长春光学精密机械与物理研究所,吉林 长春,中国,130033
2. 中国科学院 研究生院,北京 100039
收稿日期:2011-03-21,
修回日期:2011-06-21,
网络出版日期:2011-12-25,
纸质出版日期:2011-12-25
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朱宏殷, 郭永飞, 司国良. 多TDICCD拼接相机成像非均匀性实时校正的硬件实现[J]. 光学精密工程, 2011,19(12): 3034-3042
ZHU Hong-yin, GUO Yong-fei, SI Guo-liang. Real-time correction of imaging nonuniformity for multi-TDICCD mosaic camera on hardware[J]. Editorial Office of Optics and Precision Engineering, 2011,19(12): 3034-3042
朱宏殷, 郭永飞, 司国良. 多TDICCD拼接相机成像非均匀性实时校正的硬件实现[J]. 光学精密工程, 2011,19(12): 3034-3042 DOI: 10.3788/OPE.20111912.3034.
ZHU Hong-yin, GUO Yong-fei, SI Guo-liang. Real-time correction of imaging nonuniformity for multi-TDICCD mosaic camera on hardware[J]. Editorial Office of Optics and Precision Engineering, 2011,19(12): 3034-3042 DOI: 10.3788/OPE.20111912.3034.
提出了一种基于现场可编程门阵列(FPGA)平台实现的成像非均匀性实时校正算法来解决遥感多时间延迟积分(TDI)CCD拼接相机存在的问题。首先介绍了拼接相机成像非均匀性(PRNU)的定义及其产生的原因
然后针对拼接相机的特点
提出了一种通道内用两点定标法、通道间用增益平均法、片间用自适应场景补偿法的复合非均匀性校正算法。从可靠性和实时性考虑
选择在相机信号处理FPGA硬件平台上实现校正算法
针对FPGA的运算能力改进算法并分析误差
同时给出星上定标和校正因子修正的方案。实验结果表明
该算法可将单片TDICCD的成像非均匀性从4.82%降低到0.27%
最终拼接图像的非均匀性降低到0.41%
且实时性好、效率高、可满足实际工程需求。
A real-time imaing nonuniformity correction algorithm on a Field Programming Gate Array(FPGA) platform was proposed to modify the imaging nonuniformity of a multi Time Delay Intration(TDI)CCD mosaic camera. Firstly
the definition of Photo Response Nonuniformity(PRNU) and its generation in the multi-TDICCD mosaic camera were introduced. Then
the synthetical correction algorithm was presented
in which the two-point correction method was used in a single channel
gain averaging correction method among multi-channels and the scene-adaptive correction method among multi-TDICCDs. By considering the reliability and the influence of finite word-length of the FPGA
the synthetical correction algorithm was optimized and implemented on the signal processing FPGA platform. Furthermore
a scheme for modifying correction factors and spaceborne calibration were given. The experimental results indicate that the imaging nonuniformity can be decreased from 4.82% to 0.27% for a single TDICCD
and to 0.41% for a 3-TDICCD mosaic camera with the proposed correction algorithm.It also proves that this correction algorithm has high real time performance
good practicality and efficiency
and satisfies the requirements of target projects.
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