Remote Sensing Image Fusion Method Based on Adaptive Fractional Differential

Abstract

In order to resolve the issues of spectral distortion and lack of details in image fusion, a new remote sensing image fusion method based on adaptive fractional differential is proposed, which can dynamically enhance the remote sensing image according to different image features. Firstly, up-sampling operation is used in multispectral image, and the multispectral image is transformed by IHS transformation to obtain luminance component. Secondly, panchromatic image and luminance component are enhanced by adaptive fractional differential. Next, the enhanced luminance component and panchromatic image are integrated to obtained a new image, and then the new image is dealt with by histogram matching. Finally, the fused image is reconstructed by adopting the inverse IHS transformation. Experimental results indicate that the proposed method can enhance the details and textures while preserving spectral information and smooth areas in image fusion. The proposed method outperforms other traditional fusion algorithms both in visual effect and objective evaluation indexes.