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12 March 1999 PCA and wavelet transform for fusing panchromatic and multispectral images
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Abstract
Facing the increasing availability of remote sensing imagery, the compression of information and the combining of multi-spectral and multi-sensor image data are becoming of greater importance. This paper presents a new image fusion scheme based on PCA and multi-resolution analysis of wavelet theory for fusing high-resolution panchromatic and multi- spectral images. It is done in two ways: a) By replacing some wavelet coefficients of k-principal components by the corresponding coefficients of the high-resolution panchromatic images; b) By adding the wavelet coefficients of the high-resolution panchromatic image directly to k- principal components. The proposal approach is used to fuse the SPOT panchromatic and Landsat multi-spectral imags. Experimental result demonstrate that the proposal approach can not only preserve all the spectral characteristics of the multi-spectral images, but can also improve their definition and spatial quality. Compared with the PCA fusion method, the proposal scheme is much better and possesses more capable of adaptability.
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Jun Li, Yueqin Zhou, and Deren Li "PCA and wavelet transform for fusing panchromatic and multispectral images", Proc. SPIE 3719, Sensor Fusion: Architectures, Algorithms, and Applications III, (12 March 1999); https://doi.org/10.1117/12.341359
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