Study on BP neural network model of optical system parameters based on temperature variation

Temperature variation will lead to expansion or contraction of different components in the optical system of aerospace camera and change of refractive index of optical materials, which will bring changes in parameters in the optical system, thus affecting the camera. For temperature variation and the parameters of the theoretical study is less, in this paper, through establishing the model of image point drift is put forward based on the change of temperature change and the lens optical system parameters of BP neural network model, parameter variation within the temperature variation and the fitting results show that the model can be estimated by temperature variation parameter variation. hange.