CAJ | 학술논문

东海北部外陆架靠近济州岛南部海域，是黄海槽向冲绳海槽延伸的部分，属于黑潮分支黄海暖流的通道入口，分布着脊槽相间的海底底形，对其海底声呐图像的处理分析及声学底质分类的分析研究，有助于了解该通道海底底形表层纹理特征及沉积物分布规律。基于在济州岛南部海域获取的多波束声呐数据，应用图像处理技术和方法，对数据进行了处理，获得了海底声呐影像图，并对其表层纹理特征进行了描述和分析；同时，基于多波束反向散射强度数据，结合19组海底地质取样数据，建立研究区海底反向散射强度与沉积物粒度特征之间的统计关系模型，并以改进的学习向量量化神经网络方法，实现对海底粉砂质砂、黏土质砂以及砂-粉砂-黏土3种底质类型的快速自动分类识别。
동해북부외륙가고근제주도남부해역，시황해조향충승해조연신적부분，속우흑조분지황해난류적통도입구，분포착척조상간적해저저형，대기해저성눌도상적처리분석급성학저질분류적분석연구，유조우료해해통도해저저형표층문리특정급침적물분포규률。기우재제주도남부해역획취적다파속성눌수거，응용도상처리기술화방법，대수거진행료처리，획득료해저성눌영상도，병대기표층문리특정진행료묘술화분석；동시，기우다파속반향산사강도수거，결합19조해저지질취양수거，건립연구구해저반향산사강도여침적물립도특정지간적통계관계모형，병이개진적학습향량양화신경망락방법，실현대해저분사질사、점토질사이급사-분사-점토3충저질류형적쾌속자동분류식별。
The selected area in this paper is located in the south of the Cheju Island.The study area is part of the Yellow Sea Trough extends to the Okinawa Trough and it's in the pathway of the Yellow Warm Current which is one of the branches of the Kuroshio Warm Current.Its seabed sonar image processing analysis and acoustic seabed classification research,contribute to a comprehensive understanding of the characteristics of the channel seabed bed-forms surface texture and sediment distribution pattern.With the high-precision multibeam echo sounder sonar da-ta in the research area,we apply image processing techniques and methods and get the seabed sonar image,then we can do quantitative description and analysis to the seabed surface texture features.Based on multibeam echo sound-er backscatter strength data and 19 geological seabed sediment sample data,a statistical model which presents the relationship between seabed backscatter signal and sediment type is set up.Using improved Learning Vector Quantization neural network methods,a fast and accurate automatic identification for three seabed sediment types (TS,YS,STY)implementation is feasible.