Abstract: In view of the frequent occurrence of GNSS interference around airports that affect the normal flight of aircraft, it is difficult to quickly and accurately detect interference signals and locate interference sources for ground-based GNSS interference detection methods and GNSS interference detection methods based on manned aircraft. This paper researches a GNSS interference signal detection method based on UAV and visual localization, proposes a method of combining UAV triangulation localization and unscented Kalman filter to locate the interference source, presents a scheme of fusing real-time images from UAV and geographic information system (GIS) data to recognize the shape of the interference source on the basis of knowing the position of the interference source, and proposes a system architecture of low-altitude communication between the UAV and the ground data processing center based on the public network.