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Proceedings Paper

A novel AMSS-MEDIAN fusion filter for SAR imagery noise reduction
Author(s): Changhui Xu; Jingxiang Gao; Jian Wang; Jiuyun Sun
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Paper Abstract

To effectively solve the contradictions between speckle noise reduction and image edge preservation, edge fuzzy phenomenon appears in the traditional denoising methods (such as Gaussian filtering, median filtering) and wavelet transform also has its shortcoming for image processing owing to its threshold value selection, a new fusion filtering method is presented in the paper where smoothing SAR images can be firstly obtained by median filtering and preserved image edge information secondly by AMSS equation, then the two SAR images can be fused into a fusion image by means of PCA, Multiplicative and Brovey, which can be analyzed by the quantity and the quality. Simulation results proved that not only the quantity analysis but the quality showed the fusion image primely reduced the speckle noise and effectively preserved the boundaries and detail information of the image edge, meanwhile the PCA fusion method was better than Multiplicative and Brovey to the filtering of SAR images.

Paper Details

Date Published: 8 August 2007
PDF: 9 pages
Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67520V (8 August 2007); doi: 10.1117/12.760465
Show Author Affiliations
Changhui Xu, China Univ. of Mining and Technology (China)
Jingxiang Gao, China Univ. of Mining and Technology (China)
Jian Wang, China Univ. of Mining and Technology (China)
Jiuyun Sun, China Univ. of Mining and Technology (China)


Published in SPIE Proceedings Vol. 6752:
Geoinformatics 2007: Remotely Sensed Data and Information

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