上海交通大学学报(自然版) ›› 2012, Vol. 46 ›› Issue (11): 1794-17.

• 无线电电子学、电信技术 • 上一篇    下一篇

基于能量函数最优的海表面风向反演算法

袁赣南1,贾瑞才1,2,黄玉1,王慧1   

  1. (1.哈尔滨工程大学 自动化学院,哈尔滨 150001;2.中国电子科技集团公司第五十四研究所,石家庄 050081)  
  • 收稿日期:2011-11-29 出版日期:2012-11-30 发布日期:2012-11-30

Determination of Ocean Surface Wind Direction Using Energy Functional Optimization

 YUAN  Gan-南1, JIA  Rui-Cai-1, 2 , HUANG  Yu-1, WANG  Hui-1   

  1. (1. School of Automation, Harbin Engineering University, Harbin 150001, China; 2. The 54th Research Institute of CETC, Shijiazhuang 050081,China)
  • Received:2011-11-29 Online:2012-11-30 Published:2012-11-30

摘要: 针对灰度不变模型(BCM)光流法从海杂波图像中提取海表面风向存在较大误差的问题,根据海杂波图像特点,提出了基于局部灰度和梯度不变模型
(BGCM) 的能量函数最优海表面风向反演算法.首先,将图像灰度不变模型、梯度不变模型和时空平滑约束项有机组合起来,构造能量函数;然后,将能量函数对光流的两分量求偏导,得非线性欧拉-拉格朗日方程组;最后,通过迭代方法求解非线性方程组,得到光流场,求取主海表面风向.应用实测岸基海杂波图像序列进行实验,将BGCM、BCM模型反演的风向与风向标测得风向进行比较,结果表明,BGCM风向具有更高的相关系数和更小的误差,改进算法具有较好的性能.    

关键词: 光流法, 能量函数, 海表面风向, X波段雷达, 海杂波图像

Abstract: To overcome the big error existing in the common optical flow technology for determining wind direction based on brightness constancy model (BCM), an energy function optimization method was proposed for determining wind direction which depends on brightness and gradient constancy model (BGCM) with the feature of sea clutter images. Firstly, energy function is constructed with the common brightness constancy assumption, gradient constancy assumption as well as spatio-temporal smoothness constraint. Secondly, by calculating the derivation of optical flow components from energy function, the nonlinear Euler-Lagrange equations are obtained. Finally, optical flow field and main ocean surface wind direction can be achieved with iterative method to solve Euler-Lagrange equations. The improved method is finally validated with the real shore based X-band radar image. The superior performance of the proposed method is demonstrated by smaller estimation errors and well correlation when compared with results of the previous technique.

Key words: optical flow method, energy function, ocean surface wind direction, X-band radar, sea clutter image

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