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| A SAR Image Filter Method Based on Structured Neibourhood Model
with Multi-scale Edges Detection |
| Li Su-dan; Li Guang-xia |
| College of Communication Engineering，Institute of Technology of Liberation Army，Nanjing 210007, China |
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Abstract Speckle reducing is an important step in Synthetic Aperture Radar (SAR) image processing, ordinary methods blur image edges while reducing speckle. A SAR image filter method based on structured neibourhood model with macroscopical edge information is proposed in this paper. First multi-scale edge detector is applied to achieve principal image edges, then structured neibourhood filter is modified and used. Structured neibourhood filter adopts a series of templates reflecting regional direction information to describe image detailed property, the macroscopical edge information is introduced to constrain the selection of templates while processing. Finally simulated annealing algorithm is used to get appropriate template, the MAP estimate of the object pixel intensity can be achieved. Experiment indicates this method reduces effectively speckle while preserving image edges.
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Received: 09 December 2004
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2006, Vol. 28 
