期刊文献+

多波束声纳图像的补偿及其与地形数据的融合

Compensation of Multibeam Sonar Image and the Merging of Terrain Data
下载PDF
导出
摘要 简述了由多波束原始声强数据生成的声纳图在海底底质分类方面的应用中存在的问题,根据同一海底底质的海区对声波的平均反向散射强度随地形成连续变化的规律,提出了差值补偿法,解决了声纳图中由于地形变化所产生的声强信息的损失;在此基础上,根据Lambert法消除了海底地形起伏对声纳图的影响,从而得到只反映海底底质特性的海底声强图。 This paper simply describes the problems of the application in bottom characteristics sorting with the sonar image created by multibeam sound intensity data. A distortion compensation method is proposed according to the rule that average reverse dispersion intensity is changing continuously at sea with same bottom characteristics, and sound intensity loss in sonar image caused by terrain changing is solved. Besides, the effect caused by sea terrain changing is removed according to the Lambert principle, and sound intensity image reflecting bottom characteristics particularly is got.
出处 《舰船电子工程》 2014年第9期140-142,146,共4页 Ship Electronic Engineering
关键词 声纳图像 差值补偿 Lambert法则 sonar image, distortion compensation, Lambert principle
  • 相关文献

参考文献10

二级参考文献35

  • 1Yang Fanlin1, Liu Jingnan2 1. GPS Engineering Research Center, Wuhan University, Wuhan 430079, China. 2. Presidential Secretariat, Wuhan University, Wuhan 430079, China.Seabed Classification Using BP Neural Network Based on GA[J].Acta Oceanologica Sinica,2003,22(4):523-531. 被引量:3
  • 2郏宣耀.基于相似性二次度量的高维数据聚类算法[J].计算机应用,2005,25(B12):176-177. 被引量:3
  • 3吴萍,宋瀚涛,牛振东,张利萍,张聚礼.基于SS/OSF实现高维稀疏数据对象的聚类[J].北京理工大学学报,2006,26(3):216-220. 被引量:5
  • 4李卫平,张志鸿.万有引力定律在聚类中的应用[J].安阳工学院学报,2006,5(4):40-43. 被引量:3
  • 5黄谟涛.多波束测深技术研究进展与展望[J].海洋测绘,2000,78(3):2-7.
  • 6Han Jiawei.数据挖掘概念与技术[M].北京:机械工业出版社,2008.
  • 7Aggarwal C C. Re-designing Distance Functions and Dis tance-Based Applications for High Dimensional Data[J]. ACM SIGMOD Record, 2001, 30(1):13-18.
  • 8Aggarwal C C. On the Effects of Dimensionality Reduction on High Dimensional Similarity Search[C]//Proc of the 20th ACM SIGMODSIGACT-SIGART Symp on Principles of Database Systems, 2001 : 256-266.
  • 9Hinneburg, Aggarwal C C, Keim D. What Is the Nearest Neighbor in High Dimensional Spaces? [C]//Proc of the 26th Int'l Conf on Very large Data Bases, 2000:506-515.
  • 10Beyer K, Goldstein J, Ramakrishnan R, et al. When Is Nearest Neighbors Meaningful? [C]//Proc of ICDT'99, 1999:217-235.

共引文献82

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部