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Article

Large-Scale Automatic Vessel Monitoring Based on Dual-Polarization Sentinel-1 and AIS Data

1
Luxembourg Institute of Science and Technology (LIST), Environmental Research and Innovation Department (ERIN), venue des Hauts-Fourneaux, 4362 Esch-sur-Alzette, Luxembourg
2
LuxSpace Sàrl, 9 Rue Pierre Werner, 6832 Betzdorf, Luxembourg
*
Author to whom correspondence should be addressed.
Current address: 41, rue du Brill, Belvaux, Luxembourg.
Remote Sens. 2019, 11(9), 1078; https://doi.org/10.3390/rs11091078
Received: 28 February 2019 / Revised: 30 April 2019 / Accepted: 1 May 2019 / Published: 7 May 2019
(This article belongs to the Special Issue Remote Sensing of Target Detection in Marine Environment)
This research addresses the use of dual-polarimetric descriptors for automatic large-scale ship detection and characterization from synthetic aperture radar (SAR) data. Ship detection is usually performed independently on each polarization channel and the detection results are merged subsequently. In this study, we propose to make use of the complex coherence between the two polarization channels of Sentinel-1 and to perform vessel detection in this domain. Therefore, an automatic algorithm, based on the dual-polarization coherence, and applicable to entire large scale SAR scenes in a timely manner, is developed. Automatic identification system (AIS) data are used for an extensive and also large scale cross-comparison with the SAR-based detections. The comparative assessment allows us to evaluate the added-value of the dual-polarization complex coherence, with respect to SAR intensity images in ship detection, as well as the SAR detection performances depending on a vessel’s size. The proposed methodology is justified statistically and tested on Sentinel-1 data acquired over two different and contrasting, in terms of traffic conditions, areas: the English Channel the and Pacific coastline of Mexico. The results indicate a very high SAR detection rate, i.e., >80%, for vessels larger than 60 m and a decrease of detection rate up to 40 % for smaller size vessels. In addition, the analysis highlights many SAR detections without corresponding AIS positions, indicating the complementarity of SAR with respect to cooperative sources for detecting dark vessels. View Full-Text
Keywords: automatic identification system (AIS); cross-comparison; detection; dual-polarization; synthetic aperture radar (SAR); vessels automatic identification system (AIS); cross-comparison; detection; dual-polarization; synthetic aperture radar (SAR); vessels
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MDPI and ACS Style

Pelich, R.; Chini, M.; Hostache, R.; Matgen, P.; Lopez-Martinez, C.; Nuevo, M.; Ries, P.; Eiden, G. Large-Scale Automatic Vessel Monitoring Based on Dual-Polarization Sentinel-1 and AIS Data. Remote Sens. 2019, 11, 1078. https://doi.org/10.3390/rs11091078

AMA Style

Pelich R, Chini M, Hostache R, Matgen P, Lopez-Martinez C, Nuevo M, Ries P, Eiden G. Large-Scale Automatic Vessel Monitoring Based on Dual-Polarization Sentinel-1 and AIS Data. Remote Sensing. 2019; 11(9):1078. https://doi.org/10.3390/rs11091078

Chicago/Turabian Style

Pelich, Ramona, Marco Chini, Renaud Hostache, Patrick Matgen, Carlos Lopez-Martinez, Miguel Nuevo, Philippe Ries, and Gerd Eiden. 2019. "Large-Scale Automatic Vessel Monitoring Based on Dual-Polarization Sentinel-1 and AIS Data" Remote Sensing 11, no. 9: 1078. https://doi.org/10.3390/rs11091078

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