Meanwhile, we use a fast simulation annealing algorithm in the inversion, which can overcome the limitation of the local extremum of objective function, and acquire a global optimum result.

同时，在具体反演中使用快速模拟退火算法，可以克服目标函数局部极值的限制，从而获得全局最优解。

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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.

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。

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It is more suitable than simulated annealing and genetic algorithms for solving the problem that presents many local minima. Experimental results show the method is efficient.

本算法比遗传算法和模拟退火算法更适合于解决具有很多局部最小值的冗余传感器系统费用优化的问题，仿真实验结果表明本算法是很有效的。

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