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Proceedings Paper

Pixel-level SAR image fusion based on turbo iterative
Author(s): Chu He; Guisong Xia; Wenmin Peng; Hong Sun
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Paper Abstract

A pixel-level image fusion method based on turbo iterative for Synthetic Aperture Radar (SAR) and other sensor images is proposed. In this method, a wavelet-based fusion algorithm is employed at first. Then the output image is used to estimate the prior information of the ideal fusion result which is needed in the next step of adoption of a model-based fusion method. Such iterative is performed until the export image's change is at the convergence. The fusion results for SAR images show that the proposed method has a good performance.

Paper Details

Date Published: 4 November 2005
PDF: 8 pages
Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60432X (4 November 2005); doi: 10.1117/12.655027
Show Author Affiliations
Chu He, Wuhan Univ. (China)
Guisong Xia, Wuhan Univ. (China)
Wenmin Peng, Wuhan Univ. (China)
Hong Sun, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 6043:
MIPPR 2005: SAR and Multispectral Image Processing
Liangpei Zhang; Jianqing Zhang; Mingsheng Liao, Editor(s)

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