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首页> 外文期刊>Optical engineering >Shape and micromotion parameters estimation of exoatmosphere object from the infrared signature
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Shape and micromotion parameters estimation of exoatmosphere object from the infrared signature

机译：利用红外特征估计大气层物体的形状和微运动参数

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摘要

The infrared signature has been used extensively to discriminate exoatmosphere objects. The per-formance of the discriminating system is heavily dependent on the choice of features. Although numerous fea-tures have been extracted, the shape and micromotion parameters still serve as important additional features. However, there is little research on extracting the shape and micromotion parameters from the infrared signature. An estimating method of the nutation angle and half cone angle for a precession conical object is investigated. The time variation of an IR signature is found to be complicated yet valuable for estimating the micromotion and shape parameters. Based on the fact that the temperature changes a small amount during a short interval, the band exitance of the object in a short time window is approximated to be a constant to reduce the number of the model parameters. A least square estimator is used to estimate the nutation angle and half cone angle from the IR signature. Simulation experiments and the resulting discussion are carried out to demonstrate the effec-tiveness of the proposed estimation method.
机译：红外信号已被广泛用于区分大气外的物体。区分系统的性能在很大程度上取决于功能的选择。尽管已经提取了许多功能，但是形状和微运动参数仍然是重要的附加功能。但是，关于从红外特征提取形状和微运动参数的研究很少。研究了旋进圆锥形物体的章动角和半锥角的估计方法。 IR签名的时间变化被发现很复杂，但是对于估计微动和形状参数很有价值。基于温度在短时间间隔内变化很小的事实，物体在短时间窗口内的带隙近似为常数，以减少模型参数的数量。最小二乘估计器用于根据红外特征估计章动角和半锥角。仿真实验和结果讨论进行了证明所提出的估计方法的有效性。

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  • 来源
    《Optical engineering》 |2017年第3期|033103.1-033103.10|共10页
  • 作者

    Yabei Wu; Huanzhang Lu; Junliang Liu; Fei Zhao;

  • 作者单位

    National University of Defense Technology, Automatic Target Recognition Laboratory, School of Electronic Science and Engineering, Changsha, China;

    National University of Defense Technology, Automatic Target Recognition Laboratory, School of Electronic Science and Engineering, Changsha, China;

    National University of Defense Technology, Automatic Target Recognition Laboratory, School of Electronic Science and Engineering, Changsha, China;

    National University of Defense Technology, Automatic Target Recognition Laboratory, School of Electronic Science and Engineering, Changsha, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    lR target discrimination; exoatmosphere object; infrared signature; parameter estimation;

    机译：lR目标歧视;大气层物体红外签名参数估计;

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