In order to reduce the influence of temperature on the measurement accuracy in photogrammetry, based on the physical experiment, the influence mechanism of camera's autothermal image drift was studied, and a compensation method for camera's autothermal image drift was proposed. Through the long-term continuous monitoring of the stationary mark points by the camera measurement technology, it is found that the temperature change of the measurement system will indeed cause the drift measurement error of the image points, of which the horizontal drift measurement error can reach 1.11Pixel and the vertical drift measurement error can reach 2.22Pixel. Based on the test field calibration method, the camera was calibrated continuously, and the relationship between the camera temperature variation and the value of internal parameters was quantitatively analyzed. The statistical model was used to fit the parameters of the camera's participating temperatures, and the temperature error compensation model was established to realize the compensation of internal parameters. The experimental data show that the image drift error compensated by the model decreases by about 0.4Pixel in the horizontal direction and 0.9Pixel in the vertical direction, and the image drift quantity is significantly reduced and the measurement accuracy is improved. The temperature compensation model proposed in this study can take a series of corresponding temperature error avoidance measures to control the measurement error within the allowable range, which provides a corresponding method and theoretical basis for the application and practice of high-precision photogrammetry engineering.