Abstract
The intensity-hue-saturation (IHS) method, principal component analysis (PCA), Brovey transform (BT) and wavelet transform (WT) are the contemporary image fusion methods in remote sensing community. However, they often face color distortion problems with fused images. In other words, they are sensitive to the characteristics of the analyzed area. To investigate this color distortion problem, this work presents a relatively detailed study indicating that the color distortion problem arises from the change of the saturation during the fusion process. Meanwhile, PCA, BT, and WT are evaluated and found to be IHS-like image merging techniques. Experimental results for distinct image fusion methods are also demonstrated in this paper.
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