Integration of Automatic Identification System (AIS) Data and Single-Channel Synthetic Aperture Radar (SAR) Images by SAR-Based Ship Velocity Estimation for Maritime Situational Awareness
The synergic utilization of data from different sources, either ground-based or spaceborne, can lead to effective monitoring of maritime activities. To this end, the integration of synthetic aperture radar (SAR) images with data reported by the automatic identification system (AIS) is of high intere...
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doaj-7af48b87658b4dbbb9ebe36ca3dbfc072020-11-24T21:26:28ZengMDPI AGRemote Sensing2072-42922019-09-011119219610.3390/rs11192196rs11192196Integration of Automatic Identification System (AIS) Data and Single-Channel Synthetic Aperture Radar (SAR) Images by SAR-Based Ship Velocity Estimation for Maritime Situational AwarenessMaria Daniela Graziano0Alfredo Renga1Antonio Moccia2Department of Industrial Engineering, University of Naples “Federico II”, Piazzale Tecchio, 80, 80125 Naples, ItalyDepartment of Industrial Engineering, University of Naples “Federico II”, Piazzale Tecchio, 80, 80125 Naples, ItalyDepartment of Industrial Engineering, University of Naples “Federico II”, Piazzale Tecchio, 80, 80125 Naples, ItalyThe synergic utilization of data from different sources, either ground-based or spaceborne, can lead to effective monitoring of maritime activities. To this end, the integration of synthetic aperture radar (SAR) images with data reported by the automatic identification system (AIS) is of high interest. Accurate matching of ships detected in SAR images with AIS data requires compensation of the azimuth offset, which depends on the ship’s velocity. The existing procedures interpolate the route information gathered by AIS to estimate the ship’s velocity at the epoch of the SAR data, to remove the offset. Matching accuracy is limited by interpolation errors and AIS route information unavailability or uncertainties. This paper proposes the use of SAR-based ship velocity estimations to improve the integration of AIS and SAR data. A case study has been analyzed, in which the method has been tested on TerraSAR-X images collected over the Gulf of Naples, Italy. Presented results show that the matching is improved with respect to standard procedures. The proposed method limits the distance between the AIS report and the SAR-based detection to less than 150 m, which is in line with maritime surveillance needs.https://www.mdpi.com/2072-4292/11/19/2196AIS-SAR data matchingmaritime surveillanceship velocity estimationDoppler-based velocity estimationwake detection |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Maria Daniela Graziano Alfredo Renga Antonio Moccia |
spellingShingle |
Maria Daniela Graziano Alfredo Renga Antonio Moccia Integration of Automatic Identification System (AIS) Data and Single-Channel Synthetic Aperture Radar (SAR) Images by SAR-Based Ship Velocity Estimation for Maritime Situational Awareness Remote Sensing AIS-SAR data matching maritime surveillance ship velocity estimation Doppler-based velocity estimation wake detection |
author_facet |
Maria Daniela Graziano Alfredo Renga Antonio Moccia |
author_sort |
Maria Daniela Graziano |
title |
Integration of Automatic Identification System (AIS) Data and Single-Channel Synthetic Aperture Radar (SAR) Images by SAR-Based Ship Velocity Estimation for Maritime Situational Awareness |
title_short |
Integration of Automatic Identification System (AIS) Data and Single-Channel Synthetic Aperture Radar (SAR) Images by SAR-Based Ship Velocity Estimation for Maritime Situational Awareness |
title_full |
Integration of Automatic Identification System (AIS) Data and Single-Channel Synthetic Aperture Radar (SAR) Images by SAR-Based Ship Velocity Estimation for Maritime Situational Awareness |
title_fullStr |
Integration of Automatic Identification System (AIS) Data and Single-Channel Synthetic Aperture Radar (SAR) Images by SAR-Based Ship Velocity Estimation for Maritime Situational Awareness |
title_full_unstemmed |
Integration of Automatic Identification System (AIS) Data and Single-Channel Synthetic Aperture Radar (SAR) Images by SAR-Based Ship Velocity Estimation for Maritime Situational Awareness |
title_sort |
integration of automatic identification system (ais) data and single-channel synthetic aperture radar (sar) images by sar-based ship velocity estimation for maritime situational awareness |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2019-09-01 |
description |
The synergic utilization of data from different sources, either ground-based or spaceborne, can lead to effective monitoring of maritime activities. To this end, the integration of synthetic aperture radar (SAR) images with data reported by the automatic identification system (AIS) is of high interest. Accurate matching of ships detected in SAR images with AIS data requires compensation of the azimuth offset, which depends on the ship’s velocity. The existing procedures interpolate the route information gathered by AIS to estimate the ship’s velocity at the epoch of the SAR data, to remove the offset. Matching accuracy is limited by interpolation errors and AIS route information unavailability or uncertainties. This paper proposes the use of SAR-based ship velocity estimations to improve the integration of AIS and SAR data. A case study has been analyzed, in which the method has been tested on TerraSAR-X images collected over the Gulf of Naples, Italy. Presented results show that the matching is improved with respect to standard procedures. The proposed method limits the distance between the AIS report and the SAR-based detection to less than 150 m, which is in line with maritime surveillance needs. |
topic |
AIS-SAR data matching maritime surveillance ship velocity estimation Doppler-based velocity estimation wake detection |
url |
https://www.mdpi.com/2072-4292/11/19/2196 |
work_keys_str_mv |
AT mariadanielagraziano integrationofautomaticidentificationsystemaisdataandsinglechannelsyntheticapertureradarsarimagesbysarbasedshipvelocityestimationformaritimesituationalawareness AT alfredorenga integrationofautomaticidentificationsystemaisdataandsinglechannelsyntheticapertureradarsarimagesbysarbasedshipvelocityestimationformaritimesituationalawareness AT antoniomoccia integrationofautomaticidentificationsystemaisdataandsinglechannelsyntheticapertureradarsarimagesbysarbasedshipvelocityestimationformaritimesituationalawareness |
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