Multiresolution fusion of Pan and MS images based on the Curvelet transform

Image fusion can enhance remote sensing image data information so that the fused image is more in line with the vision of the human and better to analysis and processing of the image. How to fuse the multispectral images with a high spectral and the panchromatic image with a high spatial making the fused images with a high spectral as well as a high spatial resolution is recently thought to be especially important in remote sensing image study. Image fusion based on the traditional methods are not ideal for describing the images with high dimensional singularities. In this paper, we proposed a remote sensing image fusion algorithm based on the Curvelet transform, which represents the image edges better and is anisotropy. We have experimented with both IKONOS images of Wenchuan in Sichuan province after the 5.12 earthquake and a group of resource satellite images to testify the performance of the method.