Superpixel-guided CFAR Detection of Ships at Sea in SAR Imagery

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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Abstract

Synthetic Aperture Radar (SAR) has over the years evolved to be one of the most promising remote sensing modalities for large-scale monitoring of the ocean and maritime activity. The detection of ships at sea in SAR imagery is a challenging task, as it requires the detection of small targets with little exploitable spatial information within a high resolution image. We present a novel method for the detection of ships based on superpixel segmentation and subsequent statistical characterisation, with no prior land masking. Our method acts as a bound to a CFAR detector, greatly reducing false positives. We present results on SENTINEL-1 imagery, demonstrating the detection performance of our algorithm.
Original languageEnglish
Title of host publication2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017)
Subtitle of host publicationProceedings of a meeting held 5-9 March 2017, New Orleans, Louisiana, USA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1647-1651
Number of pages5
ISBN (Electronic)9781509041176
ISBN (Print)9781509041183
DOIs
Publication statusPublished - Aug 2017
EventIEEE International Conference on Acoustics, Speech and Signal Processing: The Internet of Signals - Hilton New Orleans Riverside, New Orleans, United States
Duration: 5 Mar 20179 Mar 2017
http://www.ieee-icassp2017.org/

Publication series

Name
ISSN (Print)2379-190X

Conference

ConferenceIEEE International Conference on Acoustics, Speech and Signal Processing
Abbreviated titleICASSP2017
CountryUnited States
CityNew Orleans
Period5/03/179/03/17
Internet address

Keywords

  • Synthetic Aperture Radar
  • Superpixels
  • CFAR
  • Detection

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    Pappas, O. A., Achim, A., & Bull, D. (2017). Superpixel-guided CFAR Detection of Ships at Sea in SAR Imagery. In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017): Proceedings of a meeting held 5-9 March 2017, New Orleans, Louisiana, USA (pp. 1647-1651). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICASSP.2017.7952436