To address the limitation of existing unmannedaerialvehicle photoelectric localization method used for moving objects, this paper proposes an improved two-unmannedaerialvehicleintersection localization system based on airborne optoelectronic platforms by using the crossed-angle localization method of photoelectric theodolites for reference. This paper introduces the makeup and operating principle of intersection localization system, creates auxiliary coordinate systems, transforms the light of sight vectorsinto homogeneous coordinates, and establishes a two-unmannedaerialvehicle intersection localization model. In this paper, the influence of the positional relationship between unmannedaerialvehicles and the target on localization accuracy has been studied in details to obtain an ideal measuring position and the optimal localization positionwhere the optimal intersection angle is 69.984°. Given the optimal position, the localization root-mean-square error will be 38.043 4 m when the target is 20 km away fromunmannedaerialvehicle baselines. Finally, the influence of Kalman filtering on localization results is analyzed, and an appropriate filtering model is established to reduce the localization root-mean-square error to 13.584 2 m.