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Abstract Earth observation satellites provide an increasing amount of images at different spatial, temporal, radiometric, and spectral resolutions. Recent remote sensing systems such as QuickBird and Ikonos can acquire panchromatic (PAN) images at high spatial resolution and multispectral (MS) images at high spectral resolution but low spatial resolution. Unfortunately, due to sensor constraints and technical restrictions, remote sensing systems are not capable of directly providing a single image with high spatial and spectral resolutions. On the other hand, many remote sensing applications such as classification, change detection, feature recognition and mapping of urban areas require images that simultaneously have high spatial and high spectral resolutions. Therefore, it is essential to apply various image fusion techniques to merge the spatial details of a PAN image with the spectral information of a MS image resulting in a high spatial resolution multispectral image. |