Remote sensing image fusion using edge information and features of SAR image based on curvelet transform

Curvelet transform, as a method of multiscale geometric analysis, is more suitable for image processing than wavelet, and more appropriate for analyzing the image edge characteristics of curve and line, which has better approximation precision and sparsity description. In this paper, the methods of integrating SAR image and MS image are proposed based on curvelet transform. SAR image and I image, which is given by a linear HSI transform are given by curvelet transform to obtain coarse coefficients and detail coefficients. The new coarse coefficients are obtained by using edge information and features of SAR image. The detail coefficients are dealt with traditional method that gets max of detail coefficients both I and SAR image. Then, the inverse curvelet transform gets the new intensity I image. Finally degree of distortion and space frequency are used to evaluate the result. The results of experiment indicate that the method excels those of based on HSI or curvelet transform in preserving spectral information and enhancing resolution.