Development of Pre-operational Services for Highly Innovative Maritime Surveillance Capabilities 27 th September, 2011 Carlo Morucci carlo.morucci@e-geos.it 1
Figures • Start date: June 1st, 2011 • Project Duration: 30 months Consortium: 20 partners • • Total Cost: 7 MEuro • EC contribution: 3,9 Meuro • Project Coordinator: Paola Nicolosi (e-GEOS) • R&D activities start: 1st September 2011 • FP7 Call Ref.: SPA.2010.1.1-05 Contributing to the “S” in GMES – Developing pre- operational service capabilities for Maritime Surveillance 2
The Consortium Participant Participant organisation name Country Participant Participant organisation Country no. no. name 1 e-GEOS IT 11 Edisoft S.A. (EDI) PT 2 Kongsberg Satellite Services (KSAT) NO 12 European Satellite Centre EU (EUSC) 3 Qinetiq (QQ) UK 13 Thales Alenia Space – France FR (TAS-F) 4 Spacetecpartners (STC) BE 14 Aster (AS) IT 5 Space Hellas (SPH) GR 15 Università degli Studi di IT Napoli Federico II (UNINA) 6 Collecte Localisation Satellite (CLS) FR 16 Università degli Studi di IT Roma La Sapienza (UNIROMA1) 7 Forsvarets forskningsinstitutt (FFI) NO 17 Instituto de PT Telecomunicacoes (IT) 8 Nederlandse Organisatie Voor NL 18 Oceanwaves (OW) D Toegepast Natuurwetenschappelijk Onderzoek (TNO) 9 Deutschen Zentrums für Luft- und D 19 Thales Alenia Space – Italia IT Raumfahrt (DLR) (TASI) 10 Selex – Sistemi Integrati (SSI) IT 20 Gesellschaft für angewandten D Umweltschutz und Sicherheit im Seeverkehr (GAUSS) 3
Integrated Satellite Maritime Services Technological Limitations • Improve monitoring capabilities : - small vessels detection, i.e. < 7m, is still to be improved - Reduce false alarms - Improve vessels’ motion parameters estimation - Wide areas high resolution imaging - Reduce sea background effects on the detection • Exploit more VHR optical data in order improve the detection and classification of departure points of vessels involved in illegal trafficking of goods and people 4
Integrated Satellite Maritime Services Technological Limitations • Improve satellite systems revisit time � fill the daily gaps in passes by increasing the number of operational satellite missions to be used for maritime surveillance ( � ESA Sentinels, COSMO-SkyMed 2nd generation, TerraSAR-X, SAOCOM, ...) • More identification data (AIS, VMS, VTS, LRIT, …) � “ the future is on data sharing! ” • Improve validation methods � need for more ground truth data, funds for in-situ checks and Users involvement • Improve integration and compliance with Users domains • User feedbacks on real operational use of services and data provided, capturing value added consensus from participant Users. 5
DOLPHIN scope of activities • To develop the key technological and operational gap-filling innovations • To develop new tools providing effective improvements of the state-of- the-art capabilities in Maritime Surveillance through filling their present Technological Gaps. DOLPHIN will develop Decision Support Modules (DSM) , which will integrate innovative Software Tools , aiming at filling the identified Technological Gaps according to specific policy-driven requirements and scenarios: • Border Surveillance • Traffic Safety • Fisheries Control DOLPHIN partners have developed a solid experience through a number of past and on going initiatives, such as LIMES, MARISS, MarCoast, EMSA CSN, and others. 6
DOLPHIN Technological Lines (1/2) Five Technological Lines are being developed in DOLPHIN: 1. Advanced Single Channel SAR Processing: • better detection of small and fast targets • better characterization of the vessel’s motion parameters • better identification of targets wrt the sea background 2. Polarimetry and Multi-channel SAR Processing: • better detection of small vessels • improved ship target detection and possibly classification. 3. Feature Extraction and Recognition: • better detection of small vessels • recognition of essentially man-made features in ocean imagery • detection of irregularly shaped wakes produced by manoeuvring vessels • enhancement of ocean imagery • ship classification based on silhouettes generated from a 3D image 7
DOLPHIN Technological Lines (2/2) 4. Multi-sensor Data Fusion: • fuse data from multiple sources to accurately predict the time evolution of vessel tracks, icebergs, and shipwrecks • fusion of heterogeneous data • performing accurate geolocation of SAR images in which the positions of the objects of interest such as icebergs, and ship wrecks are detected 5. Sea State Modelling and Algorithm Inversion : • extraction of sea state and meteorological parameters from high resolution SAR images • to better understand distortion in the ship imaging and to determine the length of the wake visibility to be expected 25 Software Tools will be developed ! 8
Ship detection and recognition: intelligence image 1. Satellite Image ? 2. Ship models data base 4. Intelligence image Vessel type Speed, direction Length 3. Statistics per vessel type 9
Ship Detection and Recognition Merchant ships Navy ship ? Data source: InfoTerra/DLR Gulf of Aden, 5 Dec 2010 TerraSAR-X StripMap 10
Integration of AIS Data TSX1 SM Date: 2010-07-15 Time: 17:57 TS-X detections FFI Satellite AIS ORBCOMM Satellite AIS at TSX overpass (OHB) ORBCOMM Satellite AIS whole day (OHB) Terrestrial AIS (IHS Live) 11
Single channel complex image processing - Temporal series generation and analysis - Estimation of vessel velocity Eurus Paris: length=148m beam=24m, draught=6.8m Speed: 12.2+/-1.6 knots AIS speed: 11.3 knots. Straits of Florida 9th of June 2008 23:13:33 UTC 12
Baltic Sea Moving Objects in 100 Seconds … Fischland Darß Germany TSX/ TDX SM Difference Image 2010-07-14T16:54 13 Page 13
Derivation of Ship Speed and Comparison to AIS Along Track Interferometry - Ship speed = 7.35 m/s 14 Page 14
Service Products : SAR 2 SAR correlation 24-12-2010 16:40:00 24-12-2010 16:50:00 24-12-2010 16:55:00 24-12-2010 17:00:00 24-12-2010 17:05:00 24-12-2010 17:10:00 24-12-2010 17:11:00 AIS CSK StripMAP Ship Detection Correlated Ships 15
Service Products : SAR 2 SAR correlation 24-12-2010 17:20:00 24-12-2010 17:29:00 AIS DR CSK ScanSAR Wide Ship Detection Correlated Ships SAR 2 SAR Correlated Ships The two CSK images have been acquired in a timeframe of about 18 minutes. In this way it is possible to track no cooperative ships. 16
Service Products : SAR 2 SAR correlation Strip Map Ship Signature ScanSAR Ship Signature 17
Oceanographic Products (NRT in development) Wind Seastate Oil Land-Water Line Bathimetry Sea Ice 18
Wind field for Ekofisk platform Mar. 12, 2009 at 05:58 UTC Spotlight mode Azi. Res. 1.7 m Ran. Res. 1.6 m 19
Wind and wave fields from COSMO-SkyMed 20
TerraSAR-X and Cosmo Skymed – North Sea CSK S4 Polarisation: VV Mode: Stripmap Acquisition Time: 2011-04-27 at 04:55:27 UTC TS-X Polarisation: VV Mode: Stripmap Acquisition Time: 2011-04-27 at 05:50:27 UTC 21
AIS + TSX + CSK CSK TSX 22
AIS + CSK -> Interpolation on CSK 23
DOLPHIN Project Structure Phase 1 : Definition of Operational Scenarios, Consolidation of Operational Requirements, Definition of the Interfaces towards External Systems and Data Sources WP300 WP100 Phase 2 : Development DSMs DSMs Calibration and Integration of Software Tools and Consolidation Testing Integration of DSMs Operational Requirements Software Tools Software Tools Development Calibration WP200 Validation Operational Data Technical Operational Plan Scenarios Procurement Validation Validation Definition WP400 2 CYCLES Phase 3 : Evaluation of the 2 Cycles Validation actual improvement in a In order to improve the real environment and performances of the developed Operational Services Software Tools, phase 2 and 3 Chains. will be repeated twice. 24
DOLPHIN and the MARISS Service Network The MARISS Service Network is composed by: • a common platform that will allow the coordination of the individual service components, the set up of the most suitable service chain for each specific service request • a set of service components (NRT G\S, specific VA Service chains, external data sources and systems) • a set of operational procedures that will be used to run the Network and the services. It is based on specific partnership protocols among the Providers. Services already in place for MARISS will be used for testing the DOLPHIN’s Software Tools in a NRT environment. 25
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