基于迭代结构滤波器的SAR图像去噪方法研究

通过比较各种合成孔径雷达 (SAR)图像的滤波方法 ,指出他们存在的不足。然后提出基于模拟退火的迭代滤波器的SAR图像滤波方法。这种方法通过引入相关邻域模型 ,描述图像的局部特性。首先建立一系列反映方向信息的模板 ,每一个模板代表了一种邻域结构。然后在SAR图像的统计性质基础上 ,对于每个邻域结构 ,利用Bayes方法 ,根据图像的观测值 ,获得强度真实值的最大后验概率 (MAP)估计。然后运用模拟退火算法 ,根据每个结构的概率随机选取一个邻域结构作为最适合结构 ,它所对应的估计值作为图像真实强度的估计。模拟退火保证随着温度逐步趋向于 0 ,算法可以获得估计的全局最优解

SAR Image Speckle Reduction Using Iterated Structure Filters

Kinds of synthetic aperture radar (SAR) image filter methods are studied first, their faults being pointed out. Then a kind of SAR image filter method based on annealing and iterated filter is proposed, which describes image local property by correlated neighbourhood model. At first, a series of templates reflecting direction informatio are established and every template is present for a kind of neighbour structure. Then on the basis of SAR image statistical property, the MAP estimate of the real intensity under observation image values for every structure is got by Bayes formulation. Simulated annealing algorithm is used to get proper structure from the candidate structure according their probability, the estimate value corresponding to this structure is the estimate of the underlying cross section. Simulated annealing algorithm makes sure that the best global result can be obtained when the temperature is reduced to zero.