摘要
水下目标识别系统是海洋开发的关键组成部分,而利用声呐对目标物进行定位跟踪是水下目标识别系统中最重要的技术。本文首先分析水下目标识别系统的基本原理及组成,重点研究水下声呐目标识别技术中的基于形状及纹理等特性对识别精度的影响,最后优化小波变换对目标物声呐图像的提取特征算法,通过对声呐特性的分析提出一种小波提升分析法,并构造基于DSP嵌入式系统。
As the technology developed, the ocean development depth become deeper, so the underwater target recognition system becomes the important part of it. This paper first analyzes the basic principles and composition of underwater target recognition system, focused study underwater sonar target recognition technology, finally optimized wavelet transform for target feature extraction algorithm of sonar image, proposed a lift wavelet analysis method and design the embedded system based on DSP.
出处
《舰船科学技术》
北大核心
2015年第4期182-185,共4页
Ship Science and Technology
关键词
小波变换
目标识别
DSP
wavelet transform
target recognition
DSP
