| 多波束声呐图像条带中央和边缘残差处理方法 |
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| 引用本文： | 朱正任,樊妙,邢喆,冯成凯,孙毅,阳凡林.多波束声呐图像条带中央和边缘残差处理方法[J].海洋技术,2019,38(5). |
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| 作者姓名： | 朱正任 樊妙 邢喆 冯成凯 孙毅 阳凡林 |
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| 作者单位： | 山东科技大学测绘科学与工程学院,山东青岛,266590;国家海洋信息中心,天津,300171;山东科技大学测绘科学与工程学院,山东青岛266590;海岛(礁)测绘技术国家测绘地理信息局重点实验室,山东青岛266590 |
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| 基金项目： | 国家重点研发计划;国家重点研发计划;国家重点研发计划;国家重点研发计划;山东省重点研发计划资助项目;国家自然科学基金;国家自然科学基金;国家自然科学基金 |
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| 摘 要： | 多波束声呐图像是进行海底底质分类的主要数据源之一,由于受海洋噪声、声波散射和混响、仪器设备等因素影响,其经各项常规改正后仍存在明显残差,突出表现在中央波束区和条带重叠区,难以形成高质量的声呐图像。文中分析了多波束声呐图像残差的成因及影响,提出了一种基于多条带最小二乘拟合的多波束声呐图像残差处理方法。首先,得到相邻声脉冲(ping)信号中央区域、重叠区域以及整体趋势的拟合函数;然后,通过拟合函数计算得到中央和重叠区域的残差改正系数;最后,通过改正系数进行残差改正。实验分析表明,该方法在保留原始细节的基础上,有效削弱了残差对声呐图像的影响,对多波束声呐图像处理具有参考和应用价值。
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| 关 键 词： | 多波束 声呐图像 反向散射强度 残差 |
Residuals processing method for central and edge of the band of multibeam sonar image |
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| ZHU Zhengren,FAN Miao,XING Zhe,FENG Chengkai,SUN Yi and YANG Fanlin.Residuals processing method for central and edge of the band of multibeam sonar image[J].Ocean Technology,2019,38(5). |
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| Authors: | ZHU Zhengren FAN Miao XING Zhe FENG Chengkai SUN Yi and YANG Fanlin |
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| Institution: | 1. College of Geomatics, Shandong University of Science and Technology, Qingdao Shandong 266590, China;,2. National Marine Information Center, Tianjin 300171, China; 3,2. National Marine Information Center, Tianjin 300171, China; 3,1. College of Geomatics, Shandong University of Science and Technology, Qingdao Shandong 266590, China;,2. National Marine Information Center, Tianjin 300171, China; 3 and 1. College of Geomatics, Shandong University of Science and Technology, Qingdao Shandong 266590, China;3. Key Laboratory of Surveying and Mapping Technology on Island and Reef, National Administration of Surveying, Mapping and Geoinformation, Qingdao 266590, China |
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| Abstract: | Multibeam sonar image is one of the main data sources for sediments classification of seabed. Due to the influence of the ocean ambient noise, acoustic scattering, ) signals are obtained by least-square-fitting. Secondly, the residuals correction coefficients of the central and overlapping regions are calculated by fitting function. Finally, residuals are corrected by correction coefficient. The experimental results show that this method can effectively reduce the residual effects on sonar image while retaining the original details. It has reference and application value for image processing of multibeam sonar.reverberation, measuring equipment and other factors, there are still some residual errors in sonar images after each conventional correction. These residual errors are mainly reflected in the central beam area and band overlap area, which makes it difficult to obtain high quality sonar images. In this paper, the causes and effects of multibeam sonar image residual errors were analyzed. A method based on multiband-least-squares-fitting is proposed to deal with the residual errors of multibeam sonar images. Firstly, the fitting functions of the central region, the overlapping region and the overall trend of the adjacent acoustic pulse( |
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| Keywords: | multibeam sonar image backscatter residual errors |
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