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。
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.
作者
王晓
郭军
朱邦彦
王爱学
秦天天
WANG Xiao;GUO Jun;ZHU Bangyan;WANG Aixue;QIN Tiantian(School of Geomatics and Marine Information,Huaihai Institute of Technology,Lianyungang 222000,China;Guangzhou Marine Geological Survey Bureau（GMGSB）,Guangzhou 510075,China;SAR/InSAR Engineering Applications Laboratory（SEAL）Nanjing Institute of Surveying,Mapping and Geoteehnieal Investigation,Co.Ltd.,Nanjing 210019,China;School of Geodesy and Geomaties,Wuhan University,Wuhan 430079,China;Kenli Land and Resources Bureau,Dongying 257500,China)
出处
《测绘通报》
CSCD
北大核心
2018年第8期51-55,共5页
Bulletin of Surveying and Mapping
基金
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)
关键词
侧扫声呐图像
熵
峰值信噪比
去噪
均衡化
side scan sonar image
entropy
peak signal to noise ratio
de-noising
equalization
