Research on Image Data Processing Method in UAV Subway Protection Inspection System
The subway protection violations along the urban rail transit lines are characterized by suddenness and difficulty in detection.The traditional manual inspection method has high cost,slow speed,low inspection frequency,and there are blind spots in the field of vision.The use of UAV platform for subway protection area inspection is expected to solve the above problems.This paper mainly discusses the image data preprocessing methods of UAV subway protection inspection system,including coordinate transformation,image correction,image stitching,etc.,and the method of risk source identification by using images.Experimental data show that this method significantly improves the recognition accuracy and inspection efficiency compared with the traditional method,reduces the inspection cost,and has been well applied in practical engineering.