Rain clouds tracking with radar image processing based on morphological skeleton matching
Rain clouds tracking with radar image processing based on morphological skeleton matching
复制标题
基于形态骨架匹配的雷达图像处理雨云跟踪
DOI：
--
复制
发表时间：
2001
期刊：
影响因子：
--
通讯作者：
B. Monnier
中科院分区：
文献类型：
--
作者：
F. Barbaresco;B. Monnier
本研究的目的是进行短期预测的动态雷达杂波演变（形状和位置）。这种动态的杂波，如雷暴，可以跟踪的适应算法的基础上匹配的形态骨架多边形近似松弛标记过程。我们的方法的效率证明了气象雷达图像。本申请的目的是致力于根据严重的大气现象，如Monnier等人（1997年）所述的民用交通管制。通过雷达环境评估，我们观察到雷达杂波，如降水，提交非常复杂的变形，不能很容易地建模。Barbaresco（1999）提出了一种基于形态骨架变形的流体拓扑演化预测方法。这种方法允许管理非常复杂的形状演变由于多边形近似的骨架和匹配的封闭的夫妇的元素的松弛算法。骨架简化了形状分析和变形，但也区分杂波位移和关节变形的骨架匹配位似变形（膨胀和紧缩）中轴（半径的最大磁盘中包含的形状）跟踪。
The aim of this study is to perform a short term forecasting of dynamic radar clutter evolution (shape and position). This dynamic clutter, like thunderstorms, can be tracked by means of adapted algorithms based on the matching of the morphological skeleton polygonal approximation by relaxation labeling processes. The efficiency of our methods is demonstrated on meteorological radar images. The objective of this application is dedicated to civil traffic regulation according to severe atmospheric phenomenon, as described in Monnier & al. (1997). Through radar environment assessment, we observe radar clutter, like precipitation, submitted to very complex deformations that cannot be modelized easily. In Barbaresco (1999), we proposed a method based on morphological skeleton deformation to forecast the fluid topological evolution. This method allows management of very complex shapes evolution thanks to polygonal approximation of the skeletons and matching of their closed couple of elements by the relaxation algorithm. The skeleton simplifies shape analysis and deformation but also distinguishes clutter displacement and articulated deformation by skeleton matching from homothetic deformation (inflation and deflation) by medial axis (radius of maximal disks contained in the shape) tracking.