8 August 2007 A novel AMSS-MEDIAN fusion filter for SAR imagery noise reduction
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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.
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Changhui Xu, Changhui Xu, Jingxiang Gao, Jingxiang Gao, Jian Wang, Jian Wang, Jiuyun Sun, Jiuyun Sun, "A novel AMSS-MEDIAN fusion filter for SAR imagery noise reduction", Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67520V (8 August 2007); doi: 10.1117/12.760465; https://doi.org/10.1117/12.760465
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