基于中波红外光谱遥测的温度估计算法

高于绝对零度的物体满足Plank定律，因此红外辐射在一定程度上反映温度。红外辐射测温具有响应速度快，分辨率高，能较好的实现对微小、高速移动等不可接触测量目标的温度测量。用一种先进的双波段红外遥感光谱系统采集不同温度金属的红外发射光谱，分析和研究这些不同温度的光谱数据所具有的不同特征。在此基础上，对样本提取重心位置、波峰位置、波长λ₁的值、波长λ₂的值四种光谱特征，寻找温度与其之间的函数关系;并建立多元线性回归模型，通过光谱反推温度值。实验结果表明，该方法可以有效的分辨有明显温差的高温物体，在实验所测温度范围内的测温绝对误差小于30 ℃，在测量误差小于20 ℃的置信区间内有98%正确率，优于一般系统需要保证目标发射率、大气透射率、环境等效辐射温度等复杂参数高精度的情况下2%的测温精度。该方法可以简单有效的对远距离目标测温，从而进一步拓展红外光谱遥测温度的应用领域。

Study on the Estimation Algorithm of the Temperature Based on Mid-Wave Inf rared Remote Sensing

Since objects above absolute zero agree with the Plank law ,the objects’ temperature is reflected by the infrared radia‐tion .With fast response and high resolution ,temperature estimation based on mid‐wave infrared remote sensing could realize the temperature measurement for small ,high‐speed and touch‐free objects .A new optical system for infrared (IR) image‐spectrum integration remote sensing was used to acquire infrared emission spectra from different temperatures of metal .With this basis , we extracted four appropriate spectral features which were the center of gravity position ,peak position ,the value of wavelengthλ1 and the value of wavelength λ2 from the training samples .The relationship between temperature and these features was stud‐ied .A multiple linear regression model was established to estimate the temperatures from the spectra .The experimental results showed that ,the method could distinguish hot objects with obvious temperature differences .The absolute error was less than 30℃ in the experimental temperature range .The accuracy was 98% in the range that the measurement error was less than 20 ℃ , which was better than the 2% precision of the general system with the complex strict emissivity ,atmospheric transmittance ,en‐vironmental equivalent radiation temperature and some other parameters .This method could measure the temperature of the re‐mote objects in a simple and effective way ,and so could expand the application field of temperature estimation based on infrared remo te sensing .