Motion-based segmentation and tracking of dynamic radar clutters

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.