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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. INTRODUCTION The complex and changeable space environment is an important characteristic of space target. Besides the characteristics of strong radiation and high vacuum, another important feature is the temperature sudden change 1 : In space, air cannot be used for heat transfer and heat dissipation.When the space targets run, the direct sunlight can reach high temperatures of more than 100 degrees centigrade, and the backlight surface can be as low as -100°C 2 . These sudden changes in temperature will greatly affect the measurement of space target’s imaging spectrometer. Based on this, the temperature factor is an important factor that cannot be ignored in spectral field Qing-Bo LI 1 Shao-Lin SHI 2 Ke-Jiang WU 3 First author, Qing-Bo LI, Be iHang University, School of Instrumentation Science and Opto-Electronics Engineering, Precision Opto-Mechatronics Technology Key Laboratory of Education Ministry, Beihang University, Beijing, China Second author, Shao-Lin SHI, Beihang University, Beijing, China. Third author, Ke-Jiang WU, Beihang University, Beijing, China. Corresponding author: qbleebuaa@buaa.edu.cn

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