Abstract:Two improved fusion algorithms have been constituted, wavelet fusion based on HSV color model (HSV-WT) and an Adaptive Wavelet Packet (AWP) based on region features, which were applied to processing satellite data, MultiSpectral (MS) LandSat TM & Panchromatic (P) SPOT-5, and LandSat TM MS & Synthetic Aperture Radar (SAR). The proposed HSV-WT & AWP algorithms enhance the fused image’s ability to express the spatial details while preserving spectral information of the MS data. Experimental results demonstrate that AWP performs better than HSV-WT in fusing the same data. These two algorithms, compared with traditional wavelet algorithms, can help to overcome defects when processing high-frequency signals, and they are appropriate for fusing data if the ratios of spatial resolution between the two images to be fused are not in 2ⁿ relationships.