基于海杂波图像的海表层流信息提取算法研究  

Research on the extraction algorithm of ocean surface current based on sea clutter image

作　　者：袁赣南[1] 贾瑞才 戴运桃[2] 李焱[1] 

机构地区：[1]哈尔滨工程大学自动化学院,哈尔滨150001 [2]哈尔滨工程大学理学院,哈尔滨150001

出　　处：《仪器仪表学报》2011年第8期1845-1850,共6页Chinese Journal of Scientific Instrument

基　　金：中央高校基本科研业务费专项基金(HEUCFL20101106)资助项目

摘　　要：海表层流信息提取是X波段雷达测量海浪信息的关键技术之一。为了获取实时、高精度的海表层流信息,解决目前常用算法依靠经验选取阈值精度不高、适应性差的缺点,提出了基于自适应阈值选取技术与平均加权最小二乘法的海表层流反演算法。自适应阈值选取技术能够根据图像中海浪信号的强弱不同,实现雷达图像谱中海浪信号与背景噪声的准确分离,从而最大限度地提取海浪谱,反演海表层流信息。平均加权最小二乘法考虑整体海浪谱影响,将所有的谱分量同等对待,得出测量海区的平均表层流。运用实测X波段雷达图像进行实验,结果表明改进算法的反演精度较常用算法有较大的提高。Determining near surface current information is the key technology for wave information retrieval with X-band radar. An improved algorithm base on automatic threshold selection technology and average weighted least squares method is proposed to obtain real time, high precision ocean surface current and solve the shortcomings of existing algorithms that use the threshold from experience and suffer low precision and poor adaptability. The auto- matic threshold selection technology can separate wave signal from background noise exactly according to the signal strength, and get wave image spectrum as much as possible for determining ocean surface current. The averaged least squares method considers the whole wave spectrum influence and treats all spectrum components equally in estimating the averaged surface current. The improved algorithm is validated with real X-band sea clutter image sequence, and results demonstrate that the obtained surface current velocity and direction are significantly improved compared with those obtained using conventional algorithms.

关 键 词：X波段雷达 海表层流提取 海杂波图像 高阶次谐波 平均加权最小二乘法 

分 类 号：TN957.51[电子电信—信号与信息处理]