一种二维图像处理的LOFAR线谱检测方法研究

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• 英文论文题名：A research of LOFAR line-spectrum detection with the two-dimensional Image Processing
• 论文作者：郑佳 ; 葛辉良 ; 陶剑锋 ; 谢志诚
• 英文论文作者：ZHENG Jia ; GE Hui-liang ; TAO Jian-feng ; XIE Zhi-cheng ; 715th Research Institute of China Shipbuilding Industry Corporation
• 年：2016
• 作者机构：中船重工第七一五研究所第一研究室;
• 论文关键词：被动声呐 ; 二维图像处理 ; 线谱检测 ; LOFAR ; 图像质量 ; 自动检测
• 英文论文关键词：passive sonar ; two-dimensional image processing ; line-spectrum detection ; LOFAR ; image quality ; automatic detection
• 会议召开时间：2016-08-21
• 会议录名称：2016’中国西部声学学术交流会论文集
• 语种：中文
• 分类号：TP391.41
• 学会代码：SXJS
• 会议名称：2016’中国西部声学学术交流会
• 会议地点：中国四川成都
• 主办单位：中国声学学会微声学分会、中国声学学会物理声学分会、陕西省声学学会、浙江省声学学会、山东省声学学会、上海市声学学会、黑龙江省声学学会、水声技术重点实验室、重庆市声学学会、西安市声学学会、四川省声学学会
• 学会名称：《声学技术》编辑部
• 页数：4
• 文件大小：1214k
• 原文格式：D
• 会议级别：全国

摘要

LOFAR(Low Frequency Analysis Record)图线谱检测是被动声呐检测的重要内容,而水声环境复杂,线谱信息淹没在噪声干扰中,难以提取。本文提出一种二维图像处理的LOFAR线谱检测方法,通过二维图像处理方法来提高LOFAR线谱检测能力。通过现役被动声呐水下目标探测数据仿真分析,该方法能够明显提高LOFAR线谱图像质量,为目标自动检测奠定良好基础。
LOFAR(Low Frequency Analysis Record) figure line-spectrum detection is an important content of passive sonar detection, butit is difficult to extract, cause of complex acoustic environment, whichhide the line-spectrum information. This paper presents method of a two-dimensional image processing LOFAR line-spectrum detection, through the two-dimensional image processing method to improve LOFAR line-spectrum detection ability. Through the simulation analysis with the data of underwater target detection of active passive sonar, the method can obviously increase the LOFAR image quality, lay good foundation for target automatic detection.

引文

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