
Proceedings Paper
A new approach to fusing PAN and MS remote sensing images with high fidelity of colorFormat | Member Price | Non-Member Price |
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Paper Abstract
To improve the fusion effect of the PAN (Panchromatic) image and the MS (Multi-Spectral) image, this paper proposes a
new fusion approach with high fidelity of color based on the combination of IHS and wavelet transformation. After the
PAN image and the intensity component of MS image are decomposed respectively by wavelet transformation, lowfrequency
sub-images are fused with a self-adaptive fusion rule based on the improved PCA (Principal Component
Analysis), while the fusion rule of maximum of absolute values with consistent verification is used to fuse highfrequency
sub-images. Then the intensity component of MS image is replaced by the merged data and the fused image is
obtained by inverse IHS transform of the MS image. The subjective visual effect and the objective estimation indicate
that the new method can preserve the color information very well. Compared to the traditional IHS and wavelet
transform based algorithms, the color distortion of the proposed algorithm reduces 47.31% and 26.14% separately. In
addition, compared to the weighted average fusion method of low-frequency coefficients and high-frequency coefficients
substituted directly by high-frequency sub-images of the original PAN image, the color distortion of the introduced
intelligent and self-adaptive fusion rule reduces 6.51% and 24.22% respectively.
Paper Details
Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 74941O (30 October 2009); doi: 10.1117/12.833731
Published in SPIE Proceedings Vol. 7494:
MIPPR 2009: Multispectral Image Acquisition and Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)
PDF: 8 pages
Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 74941O (30 October 2009); doi: 10.1117/12.833731
Show Author Affiliations
Xin Li, Beihang Univ. (China)
Shiyin Qin, Beihang Univ. (China)
Published in SPIE Proceedings Vol. 7494:
MIPPR 2009: Multispectral Image Acquisition and Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)
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