Development of denoising and compression algorithms for AIS-based vessel trajectories

Yan Ran; Mo Haoyu; Yang DongWang Shuaian

首页> 外文期刊>Ocean engineering >Development of denoising and compression algorithms for AIS-based vessel trajectories

【24h】

Development of denoising and compression algorithms for AIS-based vessel trajectories

机译：Development of denoising and compression algorithms for AIS-based vessel trajectories

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

Ship navigation information derived from the Automatic Identification System (AIS) is widely used in the shipping industry. As AIS reports are featured with huge volume and noises, preprocessing of AIS data is essential before its further application. This study aims to develop effective algorithms to denoise and compress raw trajectories derived from AIS reports. Specifically, an effective noise detection method based on statistical theory and sliding window is first proposed to identify glitches in a given trajectory. Linear interpolation is further used to rectify the glitches detected. Then, two modes of algorithms are proposed for trajectory compression: static mode with preset threshold for compression and dynamic mode considering the distance between trajectory points and the coastline in a real-time manner. Numerical experiments show that the noise detection and rectification algorithms and the trajectory compression algorithms are accurate and highly efficient considering compression rate, information loss, and computation time. The main innovation of this research includes developing an accurate and robust trajectory glitch detection and rectification algorithm, proposing two modes of trajectory compression algorithms, and combining the two tasks in a holistic robust framework. Especially, the dynamic compression mode can overcome a major problem encountered in static compression where the compressed trajectories may go across land. It can also deal with more flexible compression requirements and thus should be more applicable in practice.

著录项

来源
《Ocean engineering》 |2022年第15期|111207.1-111207.29|共29页
作者
Yan Ran; Mo Haoyu; Yang DongWang Shuaian;
展开▼
作者单位

Hong Kong Polytech Univ, Dept Logist & Maritime Studies, Hung Hom, Kowloon, Hong Kong, Peoples R China;

展开▼
收录信息
原文格式 PDF
正文语种英语
中图分类
关键词
Automatic identification system (AIS); Trajectory denoising; Trajectory compression; Dynamic threshold; Trajectory point-coastline distance;

Development of denoising and compression algorithms for AIS-based vessel trajectories

摘要

著录项

相关主题

期刊订阅