摘要
地基望远镜对空间目标的长焦距红外成像能够得到空间目标的温度区域分布信息,然而成像过程的未知参量将降低传统的双波段比色测温法正向求解精度。未知参量包括目标发射率、大气透过率、地球热辐射等。文中建立了基于多波段红外探测器测量电子数的贝叶斯估计评价函数模型,能够比较精确地反向求解空间目标的真实温度分布;并推导了目标参量估计函数的克拉美.罗界,能够预测一系列不确定因素对其温度和发射率等参数求解精度的影响;最后进行了算法的仿真实验与分析。
The temperature distribution of space objects can reflect in-orbit state. Ground-based and longfocal length imaging of space objects in infrared band provides information from which temperature distribution maps can be determined. The methods of the traditional temperature estimation are often single-band radiance and dual-band color thermometry. Uncertainties in the imaging process will reduce the traditional single-band radiance and dual-band color thermometry forward calculation accuracy. Such uncertainties include target emissivity, atmospheric transmittance, the earth＇s heat radiation, etc. In this paper, multi-band Bayesian estimation function model relating the measured number of electrons was established, the true temperature of space target could be more accurately solved. The model provided an estimation theoretic framework for developing optimal estimators and calculating Cramer-Rao lower bounds. The Cramer-Rao bounds of target parameter estimation function was derived, which could predict the accuracy of solving of the temperature and emissivity. Finally, the simulation and analysis of the algorithm was performed.
出处
《红外与激光工程》
EI
CSCD
北大核心
2013年第3期556-561,共6页
Infrared and Laser Engineering
基金
国家863高技术研究发展计划(2011AAXXX1009)
关键词
温度估计
地基望远镜
红外多波段成像
贝叶斯估计
克拉美·罗界
temperature estimation
ground-based telescope
multi-band infrared imaging
Bayesian estimation
Cramer-Rao bounds
作者简介
刘莹奇（1984-），男，助理研究员，博士生，主要从事红外热成像方面的研究。Email：a1032510210@126.com
