Fusion of multispectral and panchromatic satellite images based on ihs and curvelet transformations

Image fusion is an important tool for remote sensing data processing technology, as many Earth observation satellites provide both high-resolution panchromatic and low-resolution multispectral images. This paper presents a new image fusion method that combines IHS transform and curvelet transform. Experiments carried out on a enhanced thematic mapper plus image show that the proposed method quantitatively outperforms state-of-the art image fusion methods, in terms of geometric, radiometric, and spectral fidelity.