Nonlinear Temperature Correction Model of Spatial Material Spectrum Based on Taylor Expansion

Abstract

According to the characteristics of temperature change in the complex space environment 1 , this paper proposes a nonlinear temperature based on Taylor expansion type correction model through the analysis of the spectral properties of several commonly used materials in space. In this model, a small number of sample prior information is used to establish the temperature difference function of the spectrum under different temperature and standard temperature. According to the temperature difference function matrix, the least squares method is used to fit the parameters of the curve, and the spline difference method is applied in the algorithm. The experimental results show that the algorithm has wide applicability in multi bands. The established calibration model can predict the material spectrum at a certain temperature. It has good practical application value.