数据挖掘技术在目标识别中的应用研究

Data Mining Technique and Its Applications in Target Recognition

提出了基于数据挖掘技术的水中目标识别方法。藉助提取目标噪声特征量及模式识别算法 ,研究了三类目标的特征量提取与选择 ,实现了相同工作情况下的目标聚类分析。

This paper deals with the underwater target recognition approach based on data mining technique. By means of target characteristic abstraction and optimum selection, the paper completed the clustering analysis of three kinds of targets at the same ambient background situation,and the recognition result is satisfactory for practical use.