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In order to solve the problem of low accuracy of measurement results caused by noise in previous ranging methods, the research of key target point spacing measurement based on UAV aerial image is proposed. According to the principle of up-link and down-link ranging of UAV aerial images, the realization process of measurement scheme is designed. The azimuth angle and elevation angle of the key target point are acquired by the three-axis photoelectric theodolite. The gray information matching method is used to match the image and mark the reference point. The feature descriptors are generated according to the reference points, and the multi-dimensional feature descriptors are classified by curvature of local autocorrelation function, and the pixels are detected to extract the feature points, and the distance between them is measured and calculated by the image information acquired by UAV downlink and downlink. After image coordinate transformation, resampling, image enhancement and image smoothing steps, the error correction is completed to achieve the goal of drying. Through numerical analysis on the ground-to-air link cable test platform, the results show that the ranging results based on UAV aerial images are more accurate, which effectively improves the measurement accuracy in complex geographical environment.