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Research on the Approach to SAR and Optical Images Matching
SAR与可见光图象匹配方法的研究

Keywords: SAR image,Optical image,Morphological filtering,Image matching,Multiresolution gradational searching,Edge feature
SAR图象
,可见光图象,形态学滤波,图象匹配,多分辨分级搜索,边缘特征

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Abstract:

It is very difficult to match SAR(Synthetic Aperture Radar) and optical images because of the difference physical peculiarity. A new image matching approach based on analyzing the physical peculiarity of the two sensors has been proposed. This method applies morphological filtering algorithm to remove the speckle noise of SAR image and uses the edge's features of images to solve the matching problem and uses the technology of multiresolution gradational searching to reduce the complexity of computation. A new criterion that can search the real match position based on analyzing the experimental result is presented. It will be able to give a more accurate matching result. We validate the speckle noise filtering algorithm and the matching algorithm between the SAR image and Optical image by experiment. Experimental results show that the filtering effect is more excellent then traditional Frost algorithm, the matching algorithm have high precision and stability.

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