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Proceedings Paper

Pan-sharpening high spatial resolution ratio images using optimization
Author(s): Fangjun Li; Fu Chen; Jianbo Liu
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Paper Abstract

Among most of current Pan-sharpening methods, resampling is generally required to make panchromatic (Pan) and multispectral (MS) images matched correctly pixel by pixel. However, few methods have focused on spectral distortions caused by shape distortions of real features during resampling. This paper proposes a new Pan-sharpening algorithm based on the gray and spectral relationships between Pan, MS and the fused images. In the algorithm, Pan-sharpening is defined as an optimization of a linear overdetermined system. It takes Pan and original MS images as input datasets without resampling. The Least square technique is applied to calculate the optimum values (quality fused images). QuickBird image datasets are tested, and the results are compared with the fused images of IHS, PCA and Gram-Schmidt using interpolated MS image. The result shows that the proposed method is more efficient than IHS, PCA and Gram-Schmidt in preserving spectral characteristics and increasing spatial resolution, especially for high spatial resolution ratio (SRR > 4:1, spatial resolution ratio is the ratio of the spatial resolution of MS image to that of Pan image.) images.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74980C (30 October 2009); doi: 10.1117/12.832362
Show Author Affiliations
Fangjun Li, Ctr. of Earth Observation and Digital Earth (China)
Fu Chen, Ctr. of Earth Observation and Digital Earth (China)
Jianbo Liu, Ctr. of Earth Observation and Digital Earth (China)


Published in SPIE Proceedings Vol. 7498:
MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications

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