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High speed track deformation refers to the deformation phenomenon caused by train load, temperature change, foundation settlement and other factors during the operation of high-speed Railway track, which greatly affects the driving safety of high-speed railway vehicles. Therefore, a high-speed track deformation detection system based on the fusion of laser radar and airborne photoelectric imaging is designed. By designing and assembling the structure of the laser transmitter and laser signal receiver, the design of the LiDAR imaging module is achieved. The design of the airborne photoelectric imaging module is completed from aspects such as drones, photoelectric cameras, and PTZ, achieving the fusion processing of image data. With the support of the hardware optimization system, generate high-speed orbit LiDAR and airborne optoelectronic images, and complete the preprocessing of the initial image through operations such as denoising, distortion correction, and defogging. By using a weighted fusion method, the fusion image of LiDAR and airborne optoelectronics is obtained, and the edge features of the fusion image are extracted. The high-speed track position coordinates are calculated, and the detection results of high-speed track deformation are output by comparing the coordinate calculation results with the initial structure data of the track. The experimental results show that the average state error detection rate of the designed system is 2.3%, and the average error value of shape variable detection is 0.15mm, indicating good detection ability.