Paper Info
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.
Abstract
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.
Year
DOI
Venue
2019
10.3390/rs11192196
REMOTE SENSING
Keywords
Field
DocType
AIS-SAR data matching,maritime surveillance,ship velocity estimation,Doppler-based velocity estimation,wake detection
Computer vision,Situation awareness,Synthetic aperture radar,Remote sensing,Communication channel,Artificial intelligence,Automatic Identification System,Geology,Velocity estimation
Journal
Volume
Issue
Citations 
11
19
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Maria Daniela Graziano186.37
Alfredo Renga25013.53
Antonio Moccia37112.61