摘要
通过广泛调研国内外多波束底质声学分类研究方法,将利用不同声学特征的底质分类方法梳理为三大类,分别为基于声学信号特征的底质分类、基于海底声纳图像特征的底质分类及结合多源信息的底质分类,并对分类方法及特点进行详细介绍,目的是深入了解当前多波束底质声学分类研究热点,分析得出现有分类方法的不足之处。针对现有方法的不足之处,提出未来底质声学分类方法的发展趋势,认为多波束底质声学分类研究将逐渐向多信息源、智能化及实时化等方向发展。
A comprehensive review of the literature on bottom acoustic classification using multibeam echosounder methods at home and abroad revealed that these methods can be grouped into three main categories:seabed classification based on acoustic signal features,seabed classification based on undersea sonar image features,and combinatorial methods using multi-source information.Furthermore,the classification methods and their characteristics are presented in detail.The objective of this paper is to gain a comprehensive understanding of the current research priorities in multibeam bottom acoustic classification methods and to identify the limitations of existing classification approaches.In light of the shortcomings of the existing methods,a future development trend for bottom acoustic classification methods is proposed.It is recommended that further research on multibeam bottom acoustic classification methods should prioritize the integration of multi-source information,the enhancement of intelligence and real-time processing capabilities,and so on.
作者
周昊仪
马金凤
叶睿滢
ZHOU Haoyi;MA Jinfeng;YE Ruiying(Guangzhou Marine Geological Survey,China Geological Survey,Guangzhou 511466,China;Key Laboratory of Marine Mineral Resources,Ministry of Natural Resources,Guangzhou 511466,China)
出处
《海洋测绘》
北大核心
2025年第3期16-20,25,共6页
Hydrographic Surveying and Charting
基金
XXXX海域地质地球物理测量(西部)(DD20191002)。
关键词
多波束测量
底质声学分类
反向散射强度
角度响应曲线
监督学习
非监督学习
multibeam measurement
acoustic seabed classification
backscatter intensity
angular response curve
supervised learning
unsupervised learning
