一种红外焦平面非均匀性组合校正算法
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国家自然科学基金重点项目(60736010)和(10577009)


COMBINATIONAL ALGORITHM FOR NONUNIFORMITY CORRECTION OF INFRARED FOCAL PLANE ARRAY
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    摘要:

    分析了传统神经网络非均匀性校正算法在空域处理过程中产生目标退化的原因,在总结基于边缘指导的神经网络校正算法(ED-NN-NUC)与一点定标和神经网络结合的校正算法的基础上,提出了新的组合校正算法.新算法包含预校正、粗校正和精校正三个处理模块,利用含有弱小目标的实际红外图像进行了实验验证.结果表明,新算法能有效地抑止目标退化,并在运算速度上比ED-NN-NUC有一定的提高.

    Abstract:

    The cause of the target fade-out in Neural Network nonuniformity correction scheme for infrared focal plane array(IRFPA)was studied. Based on analyzing the strength and limitation of edge-directed NN scheme(ED-NN-NUC) and nonuniformity correction combining one-point calibration and NN-NUC, a new combinational algorithm for nonuniformity correction was proposed. The new algorithm included three modules which are pre-correction, rough correction and accurate. The comparison experiment with real IRFPA infrared image including dim targets shows that the proposed algorithm can effectively eliminate the targets fade-out and was less time consuming than ED-NN-NUC.

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施长城,张天序,刘慧娜,李洁珺,周泱,袁雅婧.一种红外焦平面非均匀性组合校正算法[J].红外与毫米波学报,2010,29(1):23~26]. SHI Chang-Cheng, ZHANG Tian-Xu, LIU Hui-Na, LI Jie-Jun, ZHOU Yang, YUAN Ya-Jing. COMBINATIONAL ALGORITHM FOR NONUNIFORMITY CORRECTION OF INFRARED FOCAL PLANE ARRAY[J]. J. Infrared Millim. Waves,2010,29(1):23~26.]

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  • 收稿日期:2009-09-21
  • 最后修改日期:2009-09-21
  • 录用日期:2009-09-21
  • 在线发布日期: 2009-12-28
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