[1]王文博,任群言,胡涛,等.利用混合图像处理方法提取浅层海底沉积层等效分层结构[J].哈尔滨工程大学学报,2019,40(07):1251-1257.[doi:10.11990/jheu.201811036]
 WANG Wenbo,REN Qunyan,HU Tao,et al.Hybrid image processing method for extracting equivalent stratified structure of sediment in shallow sea water[J].hebgcdxxb,2019,40(07):1251-1257.[doi:10.11990/jheu.201811036]
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利用混合图像处理方法提取浅层海底沉积层等效分层结构(/HTML)
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《哈尔滨工程大学学报》[ISSN:1006-6977/CN:61-1281/TN]

卷:
40
期数:
2019年07期
页码:
1251-1257
栏目:
出版日期:
2019-07-05

文章信息/Info

Title:
Hybrid image processing method for extracting equivalent stratified structure of sediment in shallow sea water
作者:
王文博12 任群言1 胡涛1 马力1
1. 中国科学院声学研究所 水声环境特性重点实验室, 北京 100190;
2. 中国科学院大学, 北京 100049
Author(s):
WANG Wenbo12 REN Qunyan1 HU Tao1 MA Li1
1. Key Laboratory of Underwater Acoustic Environment, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China
关键词:
浅层剖面仪声传播分层海底多尺度线条滤波器二维小波变换沉积层分层参数
分类号:
O427.9
DOI:
10.11990/jheu.201811036
文献标志码:
A
摘要:
海底沉积层分层结构对水下声传播有显著的影响。浅地层剖面仪是获取浅层海底的沉积层等效分层结构的一种高效手段,但是其输出数据易受环境影响且依赖人工识别。为提取沉积层分层结构,本文提出了一种自动提取沉积层等效分层界面的混合图像处理方法。该方法综合统计增强、多尺度线条滤波和二维小波变换的图像处理技术,有效抑制随机噪声和垂直干扰,增强分层区域的能量对比度,提高界面提取的准确度;结合二值化处理和深度错位相减的方法,可以得到沉积层等效分层结构参数。海上实验数据处理结果表明:该方法可以自动提取沉积层等效分层界面,不依赖于人工识别,且在几种典型沉积层分层环境下均能准确提取,具有很好的环境适应性。

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备注/Memo

备注/Memo:
收稿日期:2018-11-29。
基金项目:国家自然科学基金项目(11604360).
作者简介:王文博,男,博士研究生;任群言,男,副研究员,博士.
通讯作者:任群言,E-mail:renqunyan@mail.ioa.ac.cn
更新日期/Last Update: 2019-07-04