An additive empirical mode decomposition based method for the fusion of remote sensing images

Abstract

The fusion of high spatial resolution panchromatic (PAN) images with high spectral resolution multispectral (MS) images provides high resolution images in both spatial and spectral domains. Widely used additive wavelet transform based fusion methods extract the missing high frequency information by decomposing the PAN image via a trous wavelet transform (ATWT) and adding the detail layers to the low resolution MS image. However, this approach causes a redundant detail injection leading to artifacts in the fusion result. In this letter, use the first IMFs of the detail layer obtained by ATWT to decrease the amount of redundant high frequency components. The fusion results are compared with the widely used Additive ATWT method (AW) and recently proposed EMD fusion methods. The resulting images as well as evaluation metrics demonstrate that the proposed injection approach has better performance.