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Geometric distortion is a common mutation behavior of pixels, and the more powerful the performance of pixels in the remote sensing image of the drone, the weaker the control capability of the remote sensing console for the image of the drone. In order to accurately correct the geometric distortion behavior of pixel points and enhance the control ability of remote sensing hosts over drone images, research has been conducted on the entire process control method for geometric distortion correction of drone remote sensing images. Extract the geometric descriptors of drone remote sensing images and define the scale space of distorted pixels to complete the registration process of distorted pixels. Implement resampling for geometric distortion pixels, solve the correction processing function by calculating distortion correction parameters, and achieve the correction of geometric distortion in unmanned aerial vehicle remote sensing images. By using distortion correction intersection points to determine the coverage range of geometric distortion areas in the image, and then jointly controlling object calibration conditions, the entire process of geometric distortion correction for unmanned aerial vehicle remote sensing images is completed. The experimental results show that the application of the control method can avoid significant changes in pixel values at geometric distortion nodes, and the pixel difference before and after distortion does not exceed 5.0pt. It can achieve accurate correction of pixel geometric distortion behavior in unmanned aerial vehicle remote sensing images, which meets practical application requirements.