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Low frequency Radar imaging from ramp response using the level-set method

机译:使用水平集方法根据斜坡响应进行低频雷达成像

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Low frequency Radar imaging can be used to reconstruct the global shape of targets using the ramp response technique, which only needs no more than 3 observing angles. We have developed a new algorithm permitting to generate promising shapes of targets for mutually orthogonal directions, but giving distorted results otherwise. To solve this ill-posed inverse problem, an iterative optimization is required. Most of iterative methods require a priori assumption of the object's geometry. However, the level set method, which can completely handle the topology change in an implicit and automatic way during the iteration, is well adapted to our problem.
机译:低频雷达成像可以使用斜率响应技术来重建目标的整体形状,该技术仅需要不超过3个观察角。我们已经开发了一种新算法,可以为相互正交的方向生成目标形状,但结果却会失真。为了解决这个不适定的逆问题,需要迭代优化。大多数迭代方法需要先验地假定对象的几何形状。但是,可以在迭代过程中以隐式和自动的方式完全处理拓扑更改的级别设置方法非常适合我们的问题。

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