Motion-based segmentation and tracking of dynamic radar clutters

F. Barbaresco, S. Bonney, J. Lambert, B. Monnier
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引用次数: 8

Abstract

The aim of this study is to perform a classification and a short term spatial estimation of radar clutter. Motion-based segmentation allows one to part clutter into two sets: the static ones and the dynamic ones. A spatial segmentation can then be processed, using Doppler data, in order to obtain homogeneous clutter. The dynamic clutter can be tracked by means of adaptive algorithms based on new techniques such as active contours, front propagation combined with Kalman filtering and motion estimation. The efficiency of our methods is demonstrated on atmospheric clutter in meteorological radar images.
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基于运动的动态雷达杂波分割与跟踪
本研究的目的是对雷达杂波进行分类和短期空间估计。基于运动的分割允许人们将杂乱分成两组:静态的和动态的。然后可以使用多普勒数据处理空间分割,以获得均匀的杂波。动态杂波的跟踪采用基于主动轮廓、前传播结合卡尔曼滤波和运动估计等新技术的自适应算法。通过对气象雷达图像中大气杂波的分析,验证了本文方法的有效性。
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