Next Article in Journal
Potential Species Distribution of Balsam Fir Based on the Integration of Biophysical Variables Derived with Remote Sensing and Process-Based Methods
Previous Article in Journal
A Simple Algorithm for Large-Scale Mapping of Evergreen Forests in Tropical America, Africa and Asia
Remote Sens. 2009, 1(3), 375-392; doi:10.3390/rs1030375

Operational Ship Monitoring System Based on Synthetic Aperture Radar Processing

* ,
User Segment Division (URS), Science and Earth Observation Processing Systems (SEOPS), GMV Aerospace C Balmes, 268-270, 5th floor, E-08006, Barcelona, Spain
* Author to whom correspondence should be addressed.
Received: 8 June 2009 / Revised: 30 July 2009 / Accepted: 4 August 2009 / Published: 14 August 2009
View Full-Text   |   Download PDF [2069 KB, uploaded 19 June 2014]   |   Browse Figures


This paper presents a Ship Monitoring System (SIMONS) working with Synthetic Aperture Radar (SAR) images. It is able to infer ship detection and classification information, and merge the results with other input channels, such as polls from the Automatic Identification System (AIS). Two main stages can be identified, namely: SAR processing and data dissemination. The former has three independent modules, which are related to Coastline Detection (CD), Ship Detection (SD) and Ship Classification (SC). The later is solved via an advanced web interface, which is compliant with the OpenSource standards fixed by the Open Geospatial Consortium (OGC). SIMONS has been designed to be a modular, unsupervised and reliable system that meets Near-Real Time (NRT) delivery requirements. From data ingestion to product delivery, the processing chain is fully automatic accepting ERS and ENVISAT formats. SIMONS has been developed by GMV Aerospace, S.A. with three main goals, namely: 1) To limit the dependence on the ancillary information provided by systems such as AIS. 2) To achieve the maximum level of automatism and restrict human manipulation. 3) To limit the error sources and their propagation. Spanish authorities have validated SIMONS. The results have been satisfactory and have confirmed that the system is useful for improving decision making. For single-polarimetric images with a resolution of 30 m, SIMONS permits the location of ships larger than 40 m with a classification ratio around 50% of positive matches. These values are expected to be improved with SAR data from new sensors. In the paper, the performance of SD and SC modules is assessed by cross-check of SAR data with AIS reports.
Keywords: ship detection; ship classification; SAR; ship monitoring ship detection; ship classification; SAR; ship monitoring
This is an open access article distributed under the Creative Commons Attribution License (CC BY) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote |
MDPI and ACS Style

Margarit, G.; Barba Milanés, J.A.; Tabasco, A. Operational Ship Monitoring System Based on Synthetic Aperture Radar Processing. Remote Sens. 2009, 1, 375-392.

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here


[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert