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  • 标题:Simplification and Detection of Outlying Trajectories from Batch and Streaming Data Recorded in Harsh Environments
  • 本地全文:下载
  • 作者:Iq Reviessay Pulshashi ; Hyerim Bae ; Hyunsuk Choi
  • 期刊名称:ISPRS International Journal of Geo-Information
  • 电子版ISSN:2220-9964
  • 出版年度:2019
  • 卷号:8
  • 期号:6
  • 页码:272
  • DOI:10.3390/ijgi8060272
  • 语种:English
  • 出版社:MDPI AG
  • 摘要:Analysis of trajectory such as detection of an outlying trajectory can produce inaccurate results due to the existence of noise, an outlying point-locations that can change statistical properties of the trajectory. Some trajectories with noise are repairable by noise filtering or by trajectory-simplification. We herein propose the application of a trajectory-simplification approach in both batch and streaming environments, followed by benchmarking of various outlier-detection algorithms for detection of outlying trajectories from among simplified trajectories. Experimental evaluation in a case study using real-world trajectories from a shipyard in South Korea shows the benefit of the new approach.
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