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Abstract
High-frequency injection (HFI)-based methods are proved to be powerful in pansharpening multispectral (MS) images. In this article, based on one of the low-rank and sparse (LRS) decomposition algorithms, i.e. Go Decomposition (GoDec), a HFI-based pansharpening method exploiting spatial structure sharpness of both MS images and a low-frequency panchromatic (PAN) image component is proposed. The spectral and spatial measure of local perceived sharpness (S3) is employed to estimate sharpness of the corresponding MS and low-frequency PAN component blocks, and the sharper one is used to construct the spatial structure of the sharpened MS images. Experimental results with QuickBird, IKONOS and WorldView-2 data demonstrate that the proposed method is comparable with or even better than other popular methods.
Acknowledgements
The authors would like to thank the editors and anonymous reviewers for their valuable comments and suggestions that greatly improved the quality of this article. They would also like to thank Global Land Cover Facility and DigitalGlobe for freely providing the QuickBird, IKONOS, and WorldView-2 data, respectively. Thanks are also due to Prof. D. Tao and T. Zhou for sharing the ‘Go Decomposition’ code.