Operational ship monitoring based on multi-platforms (Satellite, UAV, HF Radar, AIS)

Sang Wan Kim, Donghan Kim, Yoon Kyung Lee, Impyeong Lee, Sangho Lee, Junghoon Kim, Keunyong Kim, Joo Hyung Ryu

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

The detection of illegal ship is one of the key factors in building a marine surveillance system. Effective marine surveillance requires the means for continuous monitoring over a wide area. In this study, the possibility of ship detection monitoring based on satellite SAR, HF radar, UAV and AIS integration was investigated. Considering the characteristics of time and spatial resolution for each platform, the ship monitoring scenario consisted of a regular surveillance system using HFR data and AIS data, and an event monitoring system using satellites and UAVs. The regular surveillance system still has limitations in detecting a small ship and accuracy due to the low spatial resolution of HF radar data. However, the event monitoring system using satellite SAR data effectively detects illegal ships using AIS data, and the ship speed and heading direction estimated from SAR images or ship tracking information using HF radar data can be used as the main information for the transition to UAV monitoring. For the validation of monitoring scenario, a comprehensive field experiment was conducted from June 25 to June 26, 2019, at the west side of Hongwon Port in Seocheon. KOMPSAT-5 SAR images, UAV data, HF radar data and AIS data were successfully collected and analyzed by applying each developed algorithm. The developed system will be the basis for the regular and event ship monitoring scenarios as well as the visualization of data and analysis results collected from multiple platforms.

Original languageEnglish
Pages (from-to)379-399
Number of pages21
JournalKorean Journal of Remote Sensing
Volume36
Issue number22
DOIs
StatePublished - 2020

Keywords

  • AIS
  • HF Radar
  • Multi-platform
  • SAR
  • Ship detection
  • Surveillance
  • UAV

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