A IHS-WT remote sensing image fusion method based on dynamic weighting of regional multi-features

This paper proposes a new IHS-WT method for remote sensing image fusion method with dynamic weighting of regional multi-features, based on the analysis of the advantages and disadvantages of classical IHS and wavelet transform fusion methods. It combines the advantages of the IHS transform and wavelet transform to achieve a better fusion result, the new I component can be obtained by fusing the wavelet coefficient data of the histogram-matched panchromatic image and the I component through adaptive weights based on window region features. Experimental results indicate that the proposed method has apparent advantage in reservation of spectral information and spatial details enhancement than other methods.