Studying photoelectric measuring device data fusion using the UKF algorithm

In this study, we conducted in-depth research on the fusion of photogrammetric data based on the Unscented Kalman Filter (UKF) algorithm. By introducing the UKF algorithm into the process of electrical signal processing, we have successfully solved the problems of the traditional Kalman filter in terms of the lack of accuracy and stability. Principal component analysis and longitudinal and horizontal data fusion enhance the impact of photogrammetric data fusion. Through simulation experiments, the proposed method is verified to be more stable and accurate in terms of fusion bias and fusion result recall. This study provides useful guidance for the selection and optimization of data fusion algorithms in practical applications.