Journal
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Volume 52, Issue 8, Pages 5088-5099Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TGRS.2013.2286827
Keywords
Component substitution; image fusion; image matting; pansharpening
Categories
Funding
- National Natural Science Fund for Distinguished Young Scholars of China [61325007]
- National Natural Science Foundation of China [61172161]
- Hunan Provincial Innovation Foundation for Postgraduate
- Chinese Scholarship Award for Excellent Doctoral Student by the Ministry of Education
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Pansharpening aims at creating a fused image of high spatial and spectral resolutions through merging a panchromatic (PAN) image with a multispectral (MS) image. Component substitution is the most widely used pansharpening method. However, most research in this field focuses on improving the existing component substitution-based pansharpening methods, e. g., principal component substitution and intensity hue saturation transform. The major contribution of this paper is a novel component substitution framework based on an image matting model. The matting model refers to an MS image that can be decomposed into three components, i.e., alpha channel, spectral foreground, and background. Through substituting the alpha channel of the MS image with the PAN image, the high-resolution MS image is able to be reconstructed perfectly. Experiments performed on different data sets demonstrate that the proposed method outperforms several state-of-the-art pansharpening methods in terms of subjective and objective evaluation.
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