PCA and wavelet transform for fusing panchromatic and multispectral images

Jun Li; Yueqin Zhou; Deren Li

doi:10.1117/12.341359

12 March 1999 PCA and wavelet transform for fusing panchromatic and multispectral images

Jun Li, Yueqin Zhou, Deren Li

Proceedings Volume 3719, Sensor Fusion: Architectures, Algorithms, and Applications III; (1999) https://doi.org/10.1117/12.341359
Event: AeroSense '99, 1999, Orlando, FL, United States

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.

Citation Download Citation

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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