测绘通报 ›› 2018, Vol. 0 ›› Issue (8): 51-55.doi: 10.13474/j.cnki.11-2246.2018.0244

• 学术研究 • 上一篇    下一篇

一种侧扫声呐图像去噪及均衡化综合处理方法

王晓1, 郭军2, 朱邦彦3, 王爱学4, 秦天天5   

  1. 1. 淮海工学院测绘与海洋信息学院, 江苏 连云港 222000;
    2. 广州海洋地质调查局, 广东 广州 510075;
    3. 南京市测绘勘察研究院股份有限公司海豹工作室, 江苏 南京 210019;
    4. 武汉大学测绘学院, 湖北 武汉 430079;
    5. 垦利区国土资源局, 山东 东营 257500
  • 收稿日期:2017-09-25 出版日期:2018-08-25 发布日期:2018-08-30
  • 作者简介:王晓(1985-),男,博士,讲师,主要从事海洋测绘方面的研究。E-mail:wxsdau2005@163.com
  • 基金资助:
    国家自然科学基金(41576107);连云港市科技项目(SH1506;SH1608);江苏省海洋科学与技术优势学科建设工程资助项目(5511201401X);淮海工学院青年基金(Z2017013)

A Comprehensive Processing Method for Side-scan Sonar Image De-noising and Equalization

WANG Xiao1, GUO Jun2, ZHU Bangyan3, WANG Aixue4, QIN Tiantian5   

  1. 1. School of Geomatics and Marine Information, Huaihai Institute of Technology, Lianyungang 222000, China;
    2. Guangzhou Marine Geological Survey Bureau(GMGSB), Guangzhou 510075, China;
    3. SAR/InSAR Engineering Applications Laboratory(SEAL), Nanjing Institute of Surveying, Mapping and Geotechnical Investigation, Co. Ltd., Nanjing 210019, China;
    4. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China;
    5. Kenli Land and Resources Bureau, Dongying 257500, China
  • Received:2017-09-25 Online:2018-08-25 Published:2018-08-30

摘要: 侧扫声呐在测量过程中易受其他作业船只及作业船速、尾流、增益参数设置等因素的综合影响,导致其图像存在多种噪声干扰及辐射畸变问题,传统方法难以有效滤除,严重影响海底地物和目标的判读。本文根据侧扫声呐图像的特点,提出了一种新颖的去噪及均衡化综合处理方法。与传统方法相比,综合法处理后图像熵值减小,峰值信噪比增大,且目标形状得到了有效保持,实现了侧扫声呐图像的高质量获取。

关键词: 侧扫声呐图像, 熵, 峰值信噪比, 去噪, 均衡化

Abstract: In the measurement process of side scan sonar (SSS),it is easily affected by other operating vessels and the factors such as ship speed,wake flow,gain parameter settings.This results in the image influenced by a variety of noise and radiometric distortion.The traditional method is difficult to effectively filter out it,and it is seriously affecting the seabed target recognition for SSS image.According to the characteristics of the SSS image,a novel comprehensive processing method of de-noising and equalization for SSS image is proposed.Compared with the traditional method,the entropy value of the image is reduced and the peak signal to noise ratio (PSNR) is increased,the shape of the seabed target is effectively preserved,and the high-quality acquisition of the SSS image is realized.

Key words: side scan sonar image, entropy, peak signal to noise ratio, de-noising, equalization

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