摘要
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.
出处
《探测与控制学报》
CSCD
北大核心
2002年第3期33-35,共3页
Journal of Detection & Control
关键词
数据挖掘技术
目标识别
特征提取
聚类分析
DM
data mining
target recognition
features extraction and selection
clustering analysis
