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Proceedings Paper

PCA and wavelet transform for fusing panchromatic and multispectral images
Author(s): Jun Li; Yueqin Zhou; Deren Li
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Paper 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.

Paper Details

Date Published: 12 March 1999
PDF: 9 pages
Proc. SPIE 3719, Sensor Fusion: Architectures, Algorithms, and Applications III, (12 March 1999); doi: 10.1117/12.341359
Show Author Affiliations
Jun Li, Wuhan Technical Univ. of Surveying and Mapping (Canada)
Yueqin Zhou, Wuhan Technical Univ. of Surveying and Mapping (Netherlands)
Deren Li, Wuhan Technical Univ. of Surveying and Mapping (China)


Published in SPIE Proceedings Vol. 3719:
Sensor Fusion: Architectures, Algorithms, and Applications III
Belur V. Dasarathy, Editor(s)

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