A new method for merging IKONOS panchromatic and multispectral image data

One objective of image fusion in remote sensing is to obtain high-resolution multispectral images that can combine the spectral characteristic of the low-resolution multispectral images with the spatial information of the high-resolution panchromatic images. Classical fusion methods such as IHS, PCA and Brovey, often face spectral distortion problems during the fusion process, which affect the accuracy of the further process and analysis. The latest developing wavelet based fusion methods preserve good spectral information, but its spatial visual effects are not satisfactory. In this paper, a new method based on resolution degradation model is proposed to minimize the spectral distortion while keeping the same spatial resolution as the panchromatic images. In order to compare the spatial and spectral effects of the new method with those of IHS, PCA, Brovey and Wavelet based methods, we use IKONOS panchromatic and multispectral images as the test data, and some quantitative measures are applied to assess the quality of fused images. The results show that the new method can keep almost the same spatial resolution as the panchromatic images, and its spectral effect is as well as that of wavelet based fusion methods. Keywordsimage fusion, resolution degradation model, IHS, spectral distortion, IKONOS, remote sensing

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