特征知识在高频1阶海杂波识别中的应用

The application of feature knowledge in high frequency first-order sea clutter identification

首先阐述不同水深下高频1阶海杂波的表示方法以及特征;然后通过分析1阶海杂波的距离-多普勒谱,设计基于特征知识的1阶海杂波识别流程,在此流程的基础上详细分析多尺度滤波、脊检测获;最后将本文算法与局部最大准则算法进行对比,以此来说明本文算法识别效果较好。

This paper firstly described the method and characteristic of high frequency first-order sea clutter in different water depth. And then the Doppler spectrum of the first order sea clutter was analyzed.The first order sea clutter identification process was designed based on the feature knowledge. Multi scale filtering and ridge detection were analyzed in detail on the basis of this process. Finally,compare the algorithm with the local maximum criterion,which showed that the algorithm had good recognition effect.