In order to achieve accurate subpixel mapping (SPM) results,this paper proposes a dual path subpixel mapping method for hyperspectral images (HSIs) using super-resolution fusion (SRF) technology.In this method,two paths are used to process hyperspectral images.In one path,the abundance image of the original hyperspectral image is interpolated to obtain a high resolution abundance image.In the other path,the super-resolution fusion technology is used to process the original image using multispectral images (MSIs) to obtain a new high resolution abundance image,and the results of the two paths are fused.Because the abundance images under the interpolation path and the super-resolution path are combined,the predicted values with rich spatial-spectral information are obtained.Finally,the final sub-pixel mapping results are obtained according to the predicted values.Experimental analysis on two real datasets shows that this method can further improve the accuracy.