基于小波变换的侧扫声纳图像镶嵌研究
|
摘要
传统的基于简单加权的侧扫声纳图像镶嵌方法,很容易造成图像信噪比的降低以及出现拼接痕迹.本文提出了一种基于小波变换的镶嵌方法,通过实测数据处理,表明该方法优于传统的镶嵌方法,不仅能够很好地将源图像细节融合在一起,而且能够很好地显示源图像各自的信息.
Traditional side-scan sonar image mosaic is based on the simple weighted method, which often results in the signal-to-noise ratio loss and untrue mosaic imprint. This paper introduces a new mosaic method based on wavelet transformation. The processed results of the actual data indicate that the method shows obvious advantages compared to the traditional methods. It can not only merge the source images details very well, but also display the information of source images clearly.
Traditional side-scan sonar image mosaic is based on the simple weighted method, which often results in the signal-to-noise ratio loss and untrue mosaic imprint. This paper introduces a new mosaic method based on wavelet transformation. The processed results of the actual data indicate that the method shows obvious advantages compared to the traditional methods. It can not only merge the source images details very well, but also display the information of source images clearly.
引文
[1] 金翔龙.海洋地球物理研究与海底探测声学技术的发展[J].地球物理学进展,2007,22(4) :1243～1249． Jin X L. The development of research in marine geophysics and acoustic technology for submarine exploration [ J ]. Progress in Geophysics (in Chinese), 2007, 22 (4) : 1243 ～1249．
[2] 李延桓.论旁侧声纳图像镶嵌技术[J].海洋与湖沼,1991,22(6) :583～589． Li T H. Techiques for side scan sonar image mosaicking[J]. Oceanologia Et Limnologia Sinica, 1991, 22(6) :583～589．
[3] 刘卫光.图像信息融合与识别[M].北京:电子工业出版社,2008,85～87． Liu W G. Image fusion and recognition [M]. Beijing:Publishing House of Electronics Industry, 2008,85 ～ 87．
[4] 成礼智,王红霞,罗永.小波的理论与应用[M].北京:科学出版社,2004,83～88． Cheng Li-zhi, Wang Hong-xia, Luo Yong. Theory and Application of Wavelet[M]. Beijing: Science Press,2004,83～88．
[5] 邱宁,何展翔,昌彦君.分析研究基于小波分析与谱分析提高重力异常的分辨能力[J].地球物理学进展,2007,22(1) :112～120． Qiu N, He Z X, Chang Y J. Ability of improving gravity anomaly resolution based on Multiresolution wavelet analysis and power spectrum analysis [J]. Progress in Geophysics (in Chinese),2007,22(1) :112～120．
[6] 柳建新,韩世礼,马捷.小波分析在地震资料去噪中的应用[J].地球物理学进展,2006,21(2) :541～545． Liu J X,Han S L,Ma J.Application of wavelet analysis in seismic data denoising[J].Progress in Geophysics(in Chinese),2006,21(2) :541～545．
[7] 谢天保,雷西玲.基于小波变换的图像镶嵌技术的研究[J]计算机工程.2002,28(9) :167,168． Xie Tian-bao,Lei Xi-ling.Research on image merging technology based on wavelet transformation[J].Computer Engineering.2002,28(9) :167～168．
[8] 李春梅.基于小波变换的图像融合及其评价[D].青岛:中国海洋大学,2007． Li C M.Image fusion and evaluation based on wavelet transform[D].Qingdao:Ocean University of China,2007．
[9] 陈浩,刘艳滢.基于提升小波变换的红外图像融合算法研究[J].激光与红外,2009,39(1) :97～100． Chen H,Liu Y Y.An infrared image fusion algorithm based on lifting wavelet transform[J].Laser & Infrared,2009,39(1) :97～100．
[10] 李敏,张小英,毛捷.基于邻域方差加权平均的小波图像融合[J].理论与方法,2008,27(1) :5～6,23． Li M,Zhang X Y,Mao J.Neighboring region variance weighted mean image fusion based on wavelet transform[J].Theory and Method,2008,27(1) :5～7．
[11] 张三宗,徐义贤.地震记录小波域高阶相关叠加技术[J].地球物理学报,2006,49(2) :554～560 Zhang S Z,Xu Y X.Higher-order correlative stacking for seismic data in the wavelet domain[J].Chinese J.Geophysics(in Chinese),2006,49(2) :554～560
[12] I.Triton Elics International,ISIS User's Manual,2004．
[13] 薛渡瀛.侧扫声纳影响嵌合软件之研发[D].台湾:台湾成功大学,2007． Xue D Y.Development of Side-scan Sonar Image Mosaicing Software[D].Taiwan:National Sun Yat-sen University,2007．
[14] 郭雷,李晖晖,鲍永生.图像融合[M].北京:电子工业出版社,2008,103～104． Guo L,Li H H,Bao Y S.Image fusion[M].Beijing:Publishing House of Electronics Industry,2008,103～104．
[15] 龙燕.基于小波变换的图像融合研究[D].济南:山东大学,2008． Long Y.Image fusion based on wavelet transform[D].Jinan:Shandong University,2008．
[2] 李延桓.论旁侧声纳图像镶嵌技术[J].海洋与湖沼,1991,22(6) :583～589． Li T H. Techiques for side scan sonar image mosaicking[J]. Oceanologia Et Limnologia Sinica, 1991, 22(6) :583～589．
[3] 刘卫光.图像信息融合与识别[M].北京:电子工业出版社,2008,85～87． Liu W G. Image fusion and recognition [M]. Beijing:Publishing House of Electronics Industry, 2008,85 ～ 87．
[4] 成礼智,王红霞,罗永.小波的理论与应用[M].北京:科学出版社,2004,83～88． Cheng Li-zhi, Wang Hong-xia, Luo Yong. Theory and Application of Wavelet[M]. Beijing: Science Press,2004,83～88．
[5] 邱宁,何展翔,昌彦君.分析研究基于小波分析与谱分析提高重力异常的分辨能力[J].地球物理学进展,2007,22(1) :112～120． Qiu N, He Z X, Chang Y J. Ability of improving gravity anomaly resolution based on Multiresolution wavelet analysis and power spectrum analysis [J]. Progress in Geophysics (in Chinese),2007,22(1) :112～120．
[6] 柳建新,韩世礼,马捷.小波分析在地震资料去噪中的应用[J].地球物理学进展,2006,21(2) :541～545． Liu J X,Han S L,Ma J.Application of wavelet analysis in seismic data denoising[J].Progress in Geophysics(in Chinese),2006,21(2) :541～545．
[7] 谢天保,雷西玲.基于小波变换的图像镶嵌技术的研究[J]计算机工程.2002,28(9) :167,168． Xie Tian-bao,Lei Xi-ling.Research on image merging technology based on wavelet transformation[J].Computer Engineering.2002,28(9) :167～168．
[8] 李春梅.基于小波变换的图像融合及其评价[D].青岛:中国海洋大学,2007． Li C M.Image fusion and evaluation based on wavelet transform[D].Qingdao:Ocean University of China,2007．
[9] 陈浩,刘艳滢.基于提升小波变换的红外图像融合算法研究[J].激光与红外,2009,39(1) :97～100． Chen H,Liu Y Y.An infrared image fusion algorithm based on lifting wavelet transform[J].Laser & Infrared,2009,39(1) :97～100．
[10] 李敏,张小英,毛捷.基于邻域方差加权平均的小波图像融合[J].理论与方法,2008,27(1) :5～6,23． Li M,Zhang X Y,Mao J.Neighboring region variance weighted mean image fusion based on wavelet transform[J].Theory and Method,2008,27(1) :5～7．
[11] 张三宗,徐义贤.地震记录小波域高阶相关叠加技术[J].地球物理学报,2006,49(2) :554～560 Zhang S Z,Xu Y X.Higher-order correlative stacking for seismic data in the wavelet domain[J].Chinese J.Geophysics(in Chinese),2006,49(2) :554～560
[12] I.Triton Elics International,ISIS User's Manual,2004．
[13] 薛渡瀛.侧扫声纳影响嵌合软件之研发[D].台湾:台湾成功大学,2007． Xue D Y.Development of Side-scan Sonar Image Mosaicing Software[D].Taiwan:National Sun Yat-sen University,2007．
[14] 郭雷,李晖晖,鲍永生.图像融合[M].北京:电子工业出版社,2008,103～104． Guo L,Li H H,Bao Y S.Image fusion[M].Beijing:Publishing House of Electronics Industry,2008,103～104．
[15] 龙燕.基于小波变换的图像融合研究[D].济南:山东大学,2008． Long Y.Image fusion based on wavelet transform[D].Jinan:Shandong University,2008．
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心