Image fusion algorithm for multispectral and panchromatic data based on multiple criteria

Mi Chen; Yonghong Jia; Deren Li; Qianqing Qin

doi:10.1117/12.652323

3 November 2005 Image fusion algorithm for multispectral and panchromatic data based on multiple criteria

Mi Chen, Yonghong Jia, Deren Li, Qianqing Qin

Proceedings Volume 6043, MIPPR 2005: SAR and Multispectral Image Processing; 604301 (2005) https://doi.org/10.1117/12.652323
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

Abstract

Image fusion is a very important research field in remote sensing. In this paper, we propose a fusion algorithm that combines PCA and discrete wavelet transform (DWT). The first principal component of multispectral images and panchromatic image is decomposed by DWT, the focus in the fusion procedure is choosing a set of basic operations on particular sets of wavelet coefficients which correspond to certain frequency bands. Since previous researches had considered relatively simple fusion rules for combining the wavelet coefficients, we developed a multiple criteria based image fusion algorithm which combines several fusion rules including pixel-level rules and feature-level rules to make the final fusion decision under the general framework for multiresolution image fusion. The experiment result of fusion IKONOS panchromatic and multispectral images shows that the proposed method can improve spatial resolution of multispectral images and is suitable for human vision system observation.

Citation Download Citation

Mi Chen, Yonghong Jia, Deren Li, and Qianqing Qin "Image fusion algorithm for multispectral and panchromatic data based on multiple criteria", Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 604301 (3 November 2005); https://doi.org/10.1117/12.652323

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