Realtime Oil Spill Detection By Image Processing of Synthetic Aperture Radar Data

Subhrangshu Adhikary, Surya Prakash Tiwari, Saikat Banerjee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Marine transportation has high economic importance because the majority of the physical goods trades occurs via sea routes. However, minor and major oil spills can occur for a variety of natural and man-made reasons, resulting in partial or complete leaks from ships. Because of the limited opportunities for rescue in the mid-ocean, this situation has the potential to be fatal. Therefore real-time monitoring of the oil spills from ships is a huge challenge. Due to the availability of advanced satellites equipped with Synthetic Aperture Radar (SAR), it is now possible to monitor oil spills in oceans in real-time. Earlier, deep learning was widely used for this purpose; however, it requires a large amount of training data as well as computational power. We propose a novel image processing technique based on blob detection that considerably reduces computational resource usage while maintaining consistent detection accuracy. We achieved detection accuracy of up to 95.3% and detected an oil spill patch within 6.9 milliseconds. The proposed model outperforms deep learning methods by 20 times faster detection with a tradeoff of only 0.8% accuracy. The proposed modelling approach will enable automated real-time detection ship oil spills at low cost in terms of infrastructure and maintenance.

Original languageEnglish
Title of host publication2022 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665497817
DOIs
StatePublished - 2022

Publication series

Name2022 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2022

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Blob Detection
  • Computer Vision
  • Deep Learning
  • Image Processing
  • Marine Oil Spill
  • Synthetic Aperture Radar

ASJC Scopus subject areas

  • Control and Optimization
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing
  • Electrical and Electronic Engineering

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