海洋测绘2024，Vol.44Issue(3)：24-27,4.DOI:10.3969/j.issn.1671-3044.2024.03.005
基于区域生长的侧扫声纳海底线追踪算法
A side scan sonar bottom tracking algorithm based on region growth
摘要
Abstract
Aiming at the problems of current automatic tracking of side scan sonar bottom lines,such as flying points,poor continuity,and susceptibility to noise,this paper analyzes the formation mechanism and image characteristics of side scan sonar bottom lines,and proposes a side scan sonar image bottom line tracking method based on an improved region growth method.Firstly,using the control growth direction method to optimize the region growth method,the computational complexity and efficiency of the method are high,On the premise of improving tracking efficiency,the anti-interference ability has also been effectively strengthened.Then,the large filtering kernel median filtering method is used to preserve the characteristics of the seabed boundary while improving the continuity of the seabed line.Finally,the secondary region growth method is used to specifically eliminate the impact of the track line on the waterfall map's bottom line.Through the research and experiment of this method,the automatic tracking and extraction of the sea bottom line was successfully realized.Field tests were carried out in the waters near Qinhuangdao,and it was demonstrated that compared with the traditional threshold method for extracting the sea bottom line,the new method proposed in this paper has better effects in terms of noise immunity,continuity,and universality.关键词
海底地形测量/侧扫声纳图像/海底线追踪/区域生长算法/边缘提取/中值滤波Key words
bottom topographic survey/Side scan sonar image/bottom tracking/region growing/edge extraction/median filtering分类
天文与地球科学引用本文复制引用
李琪,张俊明,吴泽坤,戴秀杰,王坤..基于区域生长的侧扫声纳海底线追踪算法[J].海洋测绘,2024,44(3):24-27,4.基金项目
国家重点研发计划资助(2022YFC2806603). （2022YFC2806603）
