摘要
船舶航行轨迹数据采集和分析有助于提高海上交通管理水平,提高海域、港口和内河航道的航运效率。传统的船舶轨迹采集以卫星图像分析技术为主,轨迹特征提取效率较低,本文提出一种基于视频图像处理技术的船舶轨迹线采集与分析技术,该技术结合航运船舶的视频图像信息,利用信息聚类、特征提取算法等,实现了船舶航行轨迹的高效采集和航迹拟合,具有一定的实际应用价值。
The data collection and analysis of ship trajectory is helpful to improve the level of maritime traffic management and improve the shipping efficiency of sea areas,ports and inland waterways.The traditional ship trajectory acquisition is mainly based on satellite image analysis technology,and the trajectory feature extraction efficiency is low.This paper proposes a ship trajectory acquisition and analysis technology based on video image processing technology.This technology combines the video image information of shipping ships,and uses information clustering and feature extraction algorithm to realize the efficient acquisition and trajectory fitting of ship navigation trajectory,It has certain practical application value.
作者
崔占鹏
CUI Zhan-peng(College of Engineering,Zhengzhou Technology and Business University,Zhengzhou 451400,China)
出处
《舰船科学技术》
北大核心
2021年第22期13-15,共3页
Ship Science and Technology
基金
河南省科技攻关项目(212102210092)
关键词
视频图像
航迹
聚类分析
拟合
video image
tracks
cluster analysis
fitting
