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It is possible to improve the matching accuracy of the mine image and the actual situation, to enhance the detail of the mine surveying and mapping, and to reduce the problems such as the actual development and failure of the mine due to the low efficiency of the surveying and mapping. At present, it is impossible to meet the needs of modern development by using the theodolite to measure the angle and distance of the survey area. There is a real problem that can not reflect the real situation of the mine in real time, and it is not suitable for large scale mapping. In this paper, low-altitude remote sensing is used to visualize the mining images, and the key technologies are studied. Firstly, the key technologies such as remote sensing sensor, unmanned aerial vehicle and visualization of surveying and mapping are analyzed in the low-altitude remote sensing image mapping. Secondly, the above-mentioned theory is combined with the GPS positioning principle, and the coordinate point corresponding to a certain time the reference point, and then according to the spatial distance of the intersection method, calculate the location of the point to be measured, and obtain the mine coordinates. Finally, the distance between the mining image and the electronic mapping system is calculated by using the Euclidean distance calculation formula. The result is combined with the mine image feature vector, and the image path is calculated by the determination of the gesture point and the distance algorithm. And through the code to achieve the image path displayed in the image of the drawing interface, to achieve the mining of the image. Experiments show that the proposed method can improve the degree of visibility and mapping of mine surveying and mapping to reduce the time and time of mapping.