【摘要】 根据空间点目标红外辐射光谱的特点,提出了一种新的基于双波段红外光谱数据的目标红外特征提取反演算法,对算法的有效性进行了分析,并对最大迭代次数、误差范围和缩放系数等影响算法计算效率与精度的主要参数的选取与设置问题进行了讨论.在此基础上,针对具有不同光谱特征的残余杂散辐射,分析了残余杂散辐射对目标-背景辐射对比度及目标红外特征提取精度的影响.研究结果表明,论文提出的反演算法能够有效地提取不同温度目标的红外特征信息,且计算速度快、耗时短;残余杂散辐射将对目标有效辐射面积和温度的提取精度产生一定的影响,但对目标温度提取精度的影响相对要小一些.更多还原

【Abstract】 According to the characteristics of the infrared radiation spectrum of space point target,a new method of infrared feature extraction was proposed.The effectiveness of the algorithm was analyzed. The setting principal of the parameters affecting the calculation efficiency and the simulation precision, such as iteration number,error range and zoom coefficient were discussed.Furthermore,the influence of the residual stray radiation with different spectral characteristics on the target-background contrast and the precision of the infrared feature extraction were analyzed respectively.The results show that the inversion algorithm can effectively extract the infrared feature of space point target with different temperatures,and has a fast calculation speed.The residual stray radiation will have some influence on the precision of extracting effective radiation area and temperature of target.Overall,the residual stray radiation has a relatively small effect on the accurately extraction of temperature.更多还原