Fast detection of oil spills and ships using SAR images

Alberto Lupidi*, Daniele Staglianò, Marco Martorella, Fabrizio Berizzi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

In this paper, we show the capabilities of a new maritime control system based on the processing of COSMO-SkyMed Synthetic Aperture Radar (SAR) images. This system aims at fast detection of ships that may be responsible for illegal oil dumping. In particular, a novel detection algorithm based on the joint use of the significance parameter, wavelet correlator and a two-dimensional Constant False Alarm Rate (2D-CFAR) is designed. Results show the effectiveness of such algorithms, which can be used by the maritime authorities to have a faster although still reliable response. The proposed algorithm, together with the short revisit time of the COSMO-SkyMed constellation, can help with tracking the scenario evolution from one acquisition to the next.

Original languageEnglish
Article number230
JournalRemote Sensing
Volume9
Issue number3
DOIs
Publication statusPublished - 1 Mar 2017

Bibliographical note

Publisher Copyright:
© 2017 by the authors.

Keywords

  • CFAR
  • Early warning
  • Fast
  • Maritime surveillance
  • Oil spill
  • Ship detection

ASJC Scopus subject areas

  • General Earth and Planetary Sciences

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