摘要
准确地实现侧扫声呐条带的拼接对于了解海底地形、提高对海床地物反映的准确度起着重要的作用,而相邻条带的配准是声呐条带拼接的重要前提。MATLAB以其强大的矩阵运算功能及具有丰富的图像处理函数等特点,在图像处理方面占据明显的优势。文中利用MATLAB的IPT工具箱实现了基于互信息方法的声呐条带图像的自动快速配准,通过实验验证了该配准方法的有效性。并用小波变换方法对配准好的条带图像进行融合,实现声呐条带图像的有效拼接和镶嵌。
Realizing accurately the splicing of side-scan sonar bands plays an important role in understanding, analyzing and interpreting the seabed topography. The registra- tion of the adjacent sonar bands is, however, a significant prerequisite for splicing the sonar bands. MATLAB has obvious advantages in the image processing due to its powerful matrix operation feature and abundant image processing functions. Therefore, the toolbox IPT of the MATLAB is used for realizing the automatic and fast registration of the sonar band images based on the mutual information. The registered sonar band images are fused by using the wavelet transform algorithm, thus achieving effectively the splicing and mosaic of the sonar band images. The validity of this method has been test ed and verified by experiments.
出处
《海岸工程》
2014年第4期49-55,共7页
Coastal Engineering
基金
中央级公益性科研院所基本科研业务费专项--基于声学方法的近岸水体悬浮物监测技术研究(GY02-2011T05)
山东省自然科学基金--基于声学遥感的海洋倾倒物快速监测技术研究(ZR2009FM005)
国家国际科技合作专项--自主星载高度计海面测高在轨绝对定标关键技术研究(2014DFA21710)
国家自然科学基金--基于声学遥感探测海底热液羽状流的基本特征研究(40706038)
国土资源部海洋油气资源与环境地质重点实验室资助项目--济州岛南部海域现代动力地貌特征研究(MRE201107)
关键词
声呐条带图像
拼接
互信息
图像融合
sonar band images
splicing
mutual information
image fusion
