SAR and optical image fusion based on curvelet transform

By introducing curvelet transform to SAR and optical image fusion, we can take the characters of original images well and provide more information for fusion. The method of SAR and optical image fusion based on curvelet transform is proposed, and a kind of fusion rule is designed to suppress noise effectively and remain the important characters of original images. The fusion results are evaluated by difference coefficients, correlation coefficient and equivalent numbers of looks. The results show that this method is better than that based on wavelet and ridgelet transform.