Curvelet-Based Snake for Multiscale Detection and Tracking of Geophysical Fluids
Curvelet-Based Snake for Multiscale Detection and Tracking of Geophysical Fluids
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DOI：
10.1109/tgrs.2006.885017
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发表时间：
2006-11
影响因子：
8.2
通讯作者：
Jianwei Ma;A. Antoniadis;F. L. Dimet
中科院分区：
文献类型：
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作者：
Jianwei Ma;A. Antoniadis;F. L. Dimet
探测和目标跟踪可应用于许多科学问题。本文所开发的方法的动机是在地球物理流体中检测和跟踪特征变形结构的应用。我们开发了一个综合的检测和跟踪方法的地球物理流体的基础上的离散曲波表示的信息特征的目标。Curvelet在某种意义上是一种几何小波，它允许具有C2-奇异性的二维分段连续对象的最优稀疏表示。该方法首先通过基于曲线的梯度矢量流蛇来识别一致性涡旋，然后通过基于几何小波构造的所谓semi-T或comp-T多尺度运动估计方法来建立连续时间帧之间的snaxel运动对应关系。此外，总变差正则化和循环旋转技术的组合有效地去除了错误匹配，并显着提高了估计。在每个阶段的数值实验表明，与传统的方法相比，所提出的跟踪方法对受噪声污染的时间海洋卫星图像序列，具有弱边缘和大变形的性能
Detection and target tracking have an application to many scientific problems. The approach developed in this paper is motivated by the applications of detection and tracking characteristic deformable structures in geophysical fluids. We develop an integrated detection and tracking method of geophysical fluids based on a discrete curvelet representation of the information characterizing the targets. Curvelets are in some sense geometric wavelets, allowing an optimal sparse representation of two-dimensional piecewise continuous objects with C 2-singularities. The proposed approach first identifies a consistent vortex by a curvelet-based gradient-vector-flow snake and then establishes the motion correspondence of the snaxels between successive time frames by a constructed so-called semi-T or comp-T multiscale motion-estimation method based on the geometric wavelets. Furthermore, a combination of total-variation regularization and cycle-spinning techniques effectively removes false matches and improves significantly the estimation. Numerical experiments at each stage demonstrate the performance of the proposed tracking methodology for temporal oceanographic satellite image sequences corrupted by noise, with weak edges and submitted to large deformations, in comparison to conventional methods