A Proportional Analysis of Image Fusion Methods

The fusion of high-spectral/low-spatial resolution multi panchromatic satellite images is a very useful technique in various applications of remote sensing. Recently, some studies showed that a wavelet-based image fusion method provides high quality spectral content in fused images. However, most wavelet-based methods yield fused results with spa the Brovey, IHS, and PCA fusion methods. In this paper, we introduce a new method based on a curvelet transform, which represents edges better than wavelets. Since edges play a fundamental role in image effective means to enhance spatial resolution is to enhance the edges. The curvelet provides richer information in the spatial and spectral domains simultaneously