基于光谱角与光谱距离的目标识别方法

Target discrimination Based on Spectral Angle and Spectral Distance

针对红外精确制导中抗干扰的问题,开展基于光谱角和光谱距离等特征参量的目标光谱识别技术仿真和实验研究。在目标、干扰均为灰体辐射的前提条件下,对目标和干扰在不同发射率模型、不同辐射温度下的红外光谱辐射分布进行理论建模,定量分析了目标和干扰的光谱角和光谱距离特征参量与其温度、发射率的关系,数值表征了目标和干扰的光谱差异。为验证上述光谱区分方法的有效性,实验采集并分析了目标和干扰的光谱数据。研究结果表明光谱角和光谱距离能够将两者进行有效的区分,为复杂背景下目标识别提供理论和实验基础。

Aiming at the problem of anti bait interference in infrared precise guidance,the simulation and experimental research of target spectrum recognition technology based on spectral angle and spectral distance were carried out.On the premise that target and bait were both gray body radiation,the infrared radiation distribution of target and bait under different radiation temperature and different spectral emissivity models was modeled.The relationship between temperature,spectral emissivity and spectral angle,spectral distance of target and bait was quantitatively analyzed,and the spectral difference between target and bait was numerically characterized.In orderto verify the effectiveness of the spectral discrimination method,the target and bait spectral data were collected and analyzed.The results show that the spectral angle and spectral distance can be used to distinguish target from bait,which can provides theoretical and experimental basis for target classification in complex background in the future.