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Aiming at the application scenario of autonomous landing of fixed wing unmanned aerial vehicles in complex electromagnetic and GPS-denied Environments, a method for detecting and locating aircraft landing runways based on LSD (Line Segment Detector) is proposed; According to the characteristics of airport data, an airport runway data model is constructed, and the data is calibrated and preprocessed. LSD line detection algorithm is used to improve detection time, and masking technology is used to improve the detection accuracy of the runway. Through detection, the information of the airport runway line in the image coordinate system is obtained; According to the camera imaging principle, a PNP (Perspective n Points) positioning algorithm based on line detection is derived to calculate the position of the aircraft relative to the runway; The results of detection and location calculation in visual simulation environment and real airport environment show that the algorithm designed in this paper meets the real-time requirements for landing location of unmanned aerial vehicles.