Improving synthetic aperture radar detection using the automatic identification system

2017 ◽  
Author(s):  
Fabio Manzoni Vieira ◽  
Francois Vincent ◽  
Jean-Yves Tourneret ◽  
David Bonacci ◽  
Marc Spigai ◽  
...  
Keyword(s):  
Synthetic Aperture Radar ◽  
Synthetic Aperture ◽  
Automatic Identification ◽  
Identification System ◽  
Radar Detection ◽  
Automatic Identification System ◽  
Aperture Radar

scholarly journals EARTH OBSERVATION APPLICATIONS FOR GOAL 14: IMPROVING MARITIME DOMAIN AWARENESS USING SYNTHETIC APERTURE RADAR IMAGING WITH AUTOMATIC IDENTIFICATION SYSTEM IN THE PHILIPPINES

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 215-219
Author(s):  
R. Vicente ◽  
L. Tabanggay ◽  
J. Rayo ◽  
K. Mina ◽  
A. Retamar
Keyword(s):  
Synthetic Aperture Radar ◽  
The Philippines ◽  
Earth Observation ◽  
Synthetic Aperture ◽  
Automatic Identification ◽  
Identification System ◽  
Automatic Identification System ◽  
Maritime Surveillance ◽  
Maritime Domain Awareness ◽  
Aperture Radar

Abstract. The Philippines has acquired access to the NovaSAR-1 satellite developed by Surrey Satellite Technology, Ltd. (SSTL) for the implementation of its project Synthetic Aperture Radar (SAR) and Automatic Identification System (AIS) for Innovative Terrestrial Monitoring and Maritime Surveillance, which will provide simultaneous S-band SAR imaging with AIS data for applications targeted on improving maritime domain awareness. The country has inherent challenges in this field due to its archipelagic nature, with earth observation seen as a potential solution as it provides an immediate and wide coverage over designated priority areas. This contributes toward achieving Sustainable Development Goal 14: Life Below Water by providing objective information in support of data-driven decision and policymaking, closing knowledge gaps in monitoring Philippine waters.

scholarly journals 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

2019 ◽  
Vol 11 (19) ◽  
pp. 2196 ◽  
Author(s):  
Maria Daniela Graziano ◽  
Alfredo Renga ◽  
Antonio Moccia
Keyword(s):  
Synthetic Aperture Radar ◽  
Velocity Estimation ◽  
Synthetic Aperture ◽  
Automatic Identification ◽  
Identification System ◽  
Sar Images ◽  
Automatic Identification System ◽  
Route Information ◽  
Sar Data ◽  
Aperture Radar

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.

scholarly journals Satellite synthetic aperture radar detection of Delaware Bay plumes: Jet-like feature analysis

2004 ◽  
Vol 109 (C3) ◽  
Author(s):  
Quanan Zheng ◽  
Pablo Clemente-Colón ◽  
Xiao-Hai Yan ◽  
W. Timothy Liu ◽  
Norden E. Huang
Keyword(s):  
Synthetic Aperture Radar ◽  
Delaware Bay ◽  
Synthetic Aperture ◽  
Feature Analysis ◽  
Radar Detection ◽  
Aperture Radar
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