Development of Pre-operational Services for Highly Innovative - - PowerPoint PPT Presentation

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Development of Pre-operational Services for Highly Innovative Maritime Surveillance Capabilities

27th September, 2011

Carlo Morucci

carlo.morucci@e-geos.it

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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

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The Consortium

Participant no. Participant organisation name Country Participant no. Participant organisation name Country 1 e-GEOS IT 11 Edisoft S.A. (EDI) PT 2 Kongsberg Satellite Services (KSAT) NO 12 European Satellite Centre (EUSC) EU 3 Qinetiq (QQ) UK 13 Thales Alenia Space – France (TAS-F) FR 4 Spacetecpartners (STC) BE 14 Aster (AS) IT 5 Space Hellas (SPH) GR 15 Università degli Studi di Napoli Federico II (UNINA) IT 6 Collecte Localisation Satellite (CLS) FR 16 Università degli Studi di Roma La Sapienza (UNIROMA1) IT 7 Forsvarets forskningsinstitutt (FFI) NO 17 Instituto de Telecomunicacoes (IT) PT 8 Nederlandse Organisatie Voor Toegepast Natuurwetenschappelijk Onderzoek (TNO) NL 18 Oceanwaves (OW) D 9 Deutschen Zentrums für Luft- und Raumfahrt (DLR) D 19 Thales Alenia Space – Italia (TASI) IT 10 Selex – Sistemi Integrati (SSI) IT 20 Gesellschaft für angewandten Umweltschutz und Sicherheit im Seeverkehr (GAUSS) D

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• 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 Integrated Satellite Maritime Services Technological Limitations

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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.

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• 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 scope of activities

DOLPHIN partners have developed a solid experience through a number of past and on going initiatives, such as LIMES, MARISS, MarCoast, EMSA CSN, and

• thers.

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

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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

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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 !

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• 2. Ship models data base
• 3. Statistics per vessel type
• 1. Satellite

Image

• 4. Intelligence image

Vessel type Speed, direction Length

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Ship detection and recognition: intelligence image

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Navy ship ? Merchant ships

Gulf of Aden, 5 Dec 2010 TerraSAR-X StripMap

Data source: InfoTerra/DLR

Ship Detection and Recognition

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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)

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Single channel complex image processing

• Temporal series generation and analysis
• Estimation of vessel velocity

Straits of Florida 9th of June 2008 23:13:33 UTC Eurus Paris: length=148m beam=24m, draught=6.8m Speed: 12.2+/-1.6 knots AIS speed: 11.3 knots.

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Moving Objects in 100 Seconds …

Fischland Darß Germany Baltic Sea TSX/ TDX SM Difference Image 2010-07-14T16:54

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Derivation of Ship Speed and Comparison to AIS Along Track Interferometry - Ship speed = 7.35 m/s

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Service Products : SAR 2 SAR correlation

24-12-2010 16:40:00

AIS

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

CSK StripMAP Ship Detection Correlated Ships

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Service Products : SAR 2 SAR correlation

AIS

24-12-2010 17:20:00

DR

24-12-2010 17:29:00

CSK ScanSAR Wide Ship Detection Correlated Ships SAR 2 SAR Correlated Ships

The two CSK images have been acquired in a timeframe

• f about 18 minutes. In this

way it is possible to track no cooperative ships.

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Service Products : SAR 2 SAR correlation

Strip Map Ship Signature ScanSAR Ship Signature

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Oceanographic Products (NRT in development)

Wind Seastate Oil Land-Water Line Bathimetry Sea Ice

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Wind field for Ekofisk platform

• Mar. 12, 2009 at 05:58 UTC

Spotlight mode

• Azi. Res. 1.7 m
• Ran. Res. 1.6 m

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Wind and wave fields from COSMO-SkyMed

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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

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AIS + TSX + CSK

TSX CSK

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AIS + CSK -> Interpolation on CSK

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WP400 WP200 WP300 DSMs Calibration and Consolidation Software Tools Development DSMs Integration Testing Data Procurement Validation Plan Definition Technical Validation Operational Validation Software Tools Calibration

2 CYCLES

WP100 Operational Scenarios Operational Requirements

DOLPHIN Project Structure

Phase 1: Definition of Operational Scenarios, Consolidation of Operational Requirements, Definition of the Interfaces towards External Systems and Data Sources Phase 2: Development

• f Software Tools and

Integration of DSMs Phase 3: Evaluation of the actual improvement in a real environment and Operational Services Chains. 2 Cycles Validation In

• rder

to improve the performances of the developed Software Tools, phase 2 and 3 will be repeated twice.

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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.

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Users Involvement in DOLPHIN

Users play a major role in the consolidation of the operational scenarios (WP100), to ensure that they are real-world, significant and representative of the complexity of the requirements. The rationale behind the definition of scenarios is widely agreed and shared with the Users, according to relevant policy areas responding to their mandates. On the other hand, users will be strongly involved in the validation and verification of the Operational Scenarios (WP400), when their actual effectiveness will be measured on the basis of the given definition. The Users will thus have access to improved services and products and will provide feedbacks

• n relevant utility and perspective of

integration into their operational environment. Furthermore, a subset of Users are members of the Users Advisory Board (UAB).

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Thank you for your attention!