Remote Image Fusion Based on Dual Tree Compactly Supported Shearlet Transform

In this paper, a remote image fusion method based on dual tree compactly supported shearlet transform (DT CSST) is proposed. In the method, the shift variant property is compensated by the dual tree structure, DT CSST combining with the PCA or IHS transform is applied in the remote image fusion. Through the QuickBird and IKONOS data, the experiments suggest that the proposed method is superior to other methods based on other multi-scale transforms, such as DWT, dual tree complex wavelet transform (DT CWT), à trous wavelet, curvelet and à trous shearlet transform.