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In the process of automatic registration of multi-source remote sensing images in drone surveying, excessive translation errors can lead to mismatched docking of drone surveying multi-source remote sensing images, and there are corners in drone surveying multi-source remote sensing images that are not suitable for registration, resulting in poor accuracy of image automatic registration. To address the above issues, a multi source remote sensing image automatic registration technology for unmanned aerial vehicle mapping based on pixel corner detection is designed. Define a multi-scale space for pixel information, complete multi-source pixel matching, derive multi-scale feature model expressions, extract key pixel information, and achieve multi-source remote sensing image pixel information sampling. Preprocess remote sensing images, detect pixel corners, and determine the main direction of registration processing by removing non registration corners. Then, according to the detail enhancement standards, improve the specific registration operation process, and complete the design of automatic registration technology for multi-source remote sensing images in unmanned aerial vehicle surveying based on pixel corner detection. The experimental results show that after applying the proposed method, the translation difference of remote sensing image pixels is maintained within the numerical range of 0-35pt. In the case of non unique pixel acquisition scales, the problem of mismatched docking of multi-source remote sensing images in unmanned aerial vehicle mapping caused by excessive translation difference is effectively solved. The image registration overlap rate is high, ensuring the authenticity of the registered image.