With the continuous advancement of the digital transformation and upgrading of traditional railways, accurately obtaining information on railway basic components from massive railway line data is of great significance for railway maintenance, management, and safe operation. The difficulty lies in extracting key features of the data in the target area without distortion. The digital technology based on unmanned aerial vehicle (UAV) photogrammetry provides a new way to obtain extensive data on railway basic components. The UAV was equipped with a high-precision camera to acquire image data and graphic data of the basic components along the railway. Based on the comparison of the actual effects of two general methods for segmenting railway basic components from these two types of source data, the graphic data was selected as the segmentation data source, and the segmentation algorithm was improved. The aim is to automatically segment the rail and other railway basic components within the threshold range from the overall railway line data, and an engineering example is used to verify the effectiveness and feasibility of the algorithm.

unmanned aerial vehicle  /  photogrammetry  /  data segmentation