摘要
高质量的海底声强图是进行多波束海底底质分类、目标识别的基础。要得到"单纯"反映海底底质信息的声强图,就需要对原始声强数据进行地形改正,消除地形因素的影响。在描述了多波束数据中水深数据不能满足声强数据的改正要求问题的基础上,提出了以水深数据覆盖范围为约束的声强数据选取方法。实例计算结果表明:该方法在能有效地选取高质量的声强数据,提高了基于声强图像的海底底质分类精度。
High-quality underwater sound image is the basis of seafloor classification by using sound images. Before the sonar image which is the pure reflection of seafloor is got, the impact of topography should be eliminated. After the problem of the range of depth data is less than that of sound intensity data correction is analyzed systematically, the method of sound intensity data selection based on the depth data range is proposed. The results show that this method can effectively select the high-quality sound intensity data, and improve the quality of seafloor classification by using sound images.
出处
《海洋测绘》
2012年第3期18-20,共3页
Hydrographic Surveying and Charting
基金
国家自然科学基金项目(40871207)
海军大连舰艇学院科研发展基金资助项目
关键词
多波束测深系统
声强图
底质分类
水深数据
声强数据
冗余声强
multibeam sounding system
multibeam sonar image
seafloor classification
depth data
sound intensity data
redundant sound intensity
