The invention discloses a remote sensing image super-resolution reconstruction method based on adaptive joint constraint. The method mainly comprises the following steps of: carrying out up-sampling on a low-resolution image by using bicubic interpolation; principal component analysis and K- The means method learns a dictionary of the high-resolution image; constructing a non-local sparse prior byutilizing the non-local self-similarity of the image; proposing a local structure filter based on an image local gradient, and then constructing a structure to keep local priori; fusing non-local priori and local priori, adaptively selecting parameters according to the noise level, and finally forming an adaptive joint priori; constructing a cost function, and then using an alternating iterationalgorithm for solving; finally, obtaining a high-quality image. The single remote sensing super-resolution reconstruction method provided by the invention has good performance in the aspect of keepingimage details, and has higher objective evaluation indexes. Therefore, the single remote sensing image super-resolution reconstruction method is an effective single remote sensing image super-resolution reconstruction method.