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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Main Authors: Maria Daniela Graziano, Alfredo Renga, Antonio Moccia
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/11/19/2196
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spelling 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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