Remote sensing image fusion algorithm based on multi-feature

The remote sensing image fusion algorithm based on multiscale transform can not extract details from source images effectively; so a new remote sensing image fusion algorithm based on non-subsampled contourlet transform (NSCT) domain is proposed. Firstly, the multi-spectral image was transformed into HSI (Hue-Saturation-Intensity) color space, and the NSCT transform was employed to decompose the Intensity component and panchromatic image into multiresolution representation; Secondly, the fusion rule of selecting maximum absolute pixel values was used for the low frequency sub-band coefficients, while for the high frequency subband coefficients, the multi-feature fusion rule was designed; the fused image was reconstructed by inverse NSCT transform and inverse HSI transform. Experiments and their analysis show preliminarily that the fusion method proposed can improve spatial resolution and keep spectral information simultaneously and that there are improvements both in visual effects and quantitative analysis compared with the traditional HSI tansform method, the contourlet transform based fusion method, and the NSCT transform based fusion method.