Data fusion of multiple polarimetric SAR images based on combined curvelet and wavelet transform

Data fusion is a very effective technique which can be applied to many remote sensing areas such as battle awareness, monitoring of environmental surveillance and man-made target detection. In this paper, we test fusion of multiple polarization (HH, HV , VH and W) SAR images, which is performed using multiscale image fusion technique based on combined curvelet and wavelet transform. Curvelet transform provides a flexible multiresolution, anisotropy and directional expansion for SAR images. Compared with wavelets, it can afford more efficient presentation of image edges. The fusion approach exploits the advantages of both curvelet and wavelet in multiscale domain. The example result of four polarimetric SAR image fusion show that the proposed method has a good performance.