In this paper, the authors proposed a rapid detection algorithm to deal with some problems existent in aero geophysical survey, such as failure to update GPS time and data of latitude and longitude, and abnormal magnetic peak caused by external magnetic disturbance. The algorithm utilizes threshold of raw data and its gradients based on characteristics of the observed data to conduct rapid detection. When the jump point is determined, one dimensional interpolation is computed with normal data nodes to replace the jump point. In this paper, the proposed algorithm was accomplished with C++ language. Meanwhile, and other six one-dimensional interpolation fitting methods were calculated for comparison. Moreover, the authors developed plug-in modules for these algorithms on the platform of GeoProbe. The plug-in modules on GeoProbe provide effective tools for the detection and repairing of jump points in airborne geophysical prospecting.