A Novel Pansharpening Algorithm for WorldView-2 Satellite Images

Pansharpening, a fusion technique to combine a high spatial resolution panchromatic (Pan) image with a lower spatial resolution multispectral (MS) image to obtain a high-resolution fused MS image, is an important issue in remote sensing applications, as many earth observation satellites provide both high resolution Pan and low resolution MS images. So far, many pansharpening techniques have been developed. However, most existing algorithms can hardly produce satisfactory pansharpened results for the new-style WorldView-2 (WV-2) imagery. In this paper, a novel pansharpening algorithm based on correspondence analysis is presented. Visual effect and quantity evaluation results indicate that the proposed algorithm is promising and outperforms several existing methods on true WV-2 data.

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