摘要
提出了一种水下回波特征提取方法。该方法利用连续小波变换和分形理论从水下回波包络中提取分形维,并作为水下目标分类的特征矢量。对实测的4类不同沉积物回波数据进行特征提取与分类,结果表明:该方法能可靠地区分不同类别的海底底质类型,具有较高的正确识别率。
A feature extraction method of underwater eehoes ,which is based on continuous wavelet transform and fractal theories is proposed. The fraetal dimension of the underwater echo envelope , which is calculated by this method is taken as the classifieation feature vectors. The experiment echo data from four types of sediment are processed, and the results show that the method can easily distinguish them, and high recognition rate can be obtained.
出处
《传感器与微系统》
CSCD
北大核心
2008年第11期44-46,共3页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(50474052)
关键词
分形维
小波变换
底质分类
fractal dimension
continuous wavelet transform
seabed discrimination
