indeso workshop romy

Master Internship:

SAR-VMS-AIS Correlation to
Identify Illegal Fishing Vessels in
Indonesia

Romy ARDIANTO
Master of Science in Computer Science and
Decision Systems (CSDS)

Institut Mines-Télécom

Internship Supervisors

Guillaume HAJDUCH

Yannis HARALAMBOUS

▪ Head of Expertise and
Innovation Department
at CLS Brest


▪ Senior Professor at Computer
Science Department,
TELECOM Bretagne

▪ Service Manager of the
Sentinel-1 Mission
Performance Center

▪ Head of Master of Science in
Computer Science and
Decision Systems (CSDS)
Program
▪ Author of “Fonts & Encodings”
book

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06-Oct-17


Institut Mines-Télécom

Soutenance de stage – Romy ARDIANTO

Master’s Degree in France

Degree

One of the top French
engineering school in
Information Technologies
and Telecommunications

Higher
Education
System in
France

Ecole
d’ingénieur


Master
Thesis
Internship
(highly
recommended)
Research

Master
Program

Internship
Université
Research

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Institut Mines-Télécom


Modèle de présentation Télécom Bretagne

Outline
 Context




INDESO project
CLS company
Objective of the internship

 Access to satellite data
 Estimation of VMS and AIS positions based on SAR
echoes
 Correlation of satellite data (SAR-VMS-AIS) and SAR
detection performance characterization
 Characterization of the non-VMS fishing fleet
 Conclusion


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Institut Mines-Télécom

Soutenance de stage – Romy ARDIANTO

Context

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Institut Mines-Télécom

Soutenance de stage – Romy ARDIANTO

Monitoring of marine and fisheries

resources against illegal fishing activities
 INDESO project (Infrastructure Development of Space
Oceanography)



Collaborative project between France and Indonesia (2013 –
2017)
Mission:
─ To protect our marine ressources against illegal fishing activites
and establish sustainable fisheries in Indonesia

 Moratorium of ex-foreign fishing vessels


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Temporary suspension of issuance of fishing licenses for all

Indonesian waters for vessels constructed abroad (2014 2015

Institut Mines-Télécom

Soutenance de stage – Romy ARDIANTO

INDESO




Build, develop and operate an operational center for monitoring & forecast
Implement a large capacity building plan to transfer technology & knowledge
Expand & enhance result-oriented downstream applications

Fight IUU Fishing
Monitor Fish Stocks
Monitor Coral reefs

Shrimp Farming


Seaweed Farming
Integrated Coastal
Zone Management
Oilspill Monitoring

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Institut Mines-Télécom

Soutenance de stage – Romy ARDIANTO

CLS (Collecte Localisation Satellites)
 Created in 1986, a subsidiary of CNES, Ifremer &
ARDIAN
 Pioneer provider of monitoring and surveillance
solutions :





Sustainable management of fisheries
Environmental monitoring
Maritime safety and security

 506 collaborators :



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336 in France (Toulouse, Brest and Bidart)
170 headquarters and offices around the world

Institut Mines-Télécom


Soutenance de stage – Romy ARDIANTO

Organizational Chart

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Institut Mines-Télécom

Soutenance de stage – Romy ARDIANTO

Objective of the internship
To perform a joint analysis of VMS (Vessel Monitoring System) and
AIS (Automatic Identification System) data with ship targets in SAR
imagery (Synthetic Aperture Radar)
• Evaluate correlation coefficient
• SAR detection performance characterization
• Identify illegal fishing vessels present in SAR imagery


Software applications written in Python were developed in order to
perform this joint analysis automatically

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Institut Mines-Télécom

Soutenance de stage – Romy ARDIANTO

Methodology


Venn Diagram Correlation of SAR, VMS and AIS

SAR correlated with VMS
Illegals detected by SAR,
not reported by AIS

SAR correlated with
VMS and AIS

VMS

SAR

AIS correlated with
VMS

Illegals
SAR correlated with
AIS
Illegals not detected by
SAR and AIS

AIS

Illegals not detected by
SAR, reported by AIS

Illegals detected by SAR,
reported by AIS
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Institut Mines-Télécom

Soutenance de stage – Romy ARDIANTO

Access to satellite data

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Institut Mines-Télécom

Soutenance de stage – Romy ARDIANTO

Satellite Data

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Institut Mines-Télécom

Modèle de présentation Télécom Bretagne

Estimation of VMS and AIS
positions based on SAR echoes

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Institut Mines-Télécom

Soutenance de stage – Romy ARDIANTO

Interpolation/extrapolation of VMS and AIS
data based on SAR echoes
Methodology
 Linear interpolation/extrapolation


Based on 2 successive points having the date closest to
the date of SAR echoes

 Geodetic calculation used: Vincenty's formulae



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Widely used in geodesy to calculate the distance between
two points on the surface of a spheroid  accurate to
within 0.5 mm
Consist of 2 methods: Direct and Inverse
─ Direct method: computes the location of a point that is a
given distance and azimuth (direction) from another point
─ Inverse method: computes the geographical distance and
azimuth between two given points

Institut Mines-Télécom

Soutenance de stage – Romy ARDIANTO

Interpolation
 Algorithm
1.
2.
3.
4.

5.

Selection of VMS/AIS data with ± 3h on the date of SAR echo
Selection of 2 positions closest to the date of SAR echo
Apply inverse method to calculate the geographical distance between point A
and B
Calculate the interpolation distance (based on the geographical distance
between point A and B, time interval between A and B, and time interval
between interpolated point et point B)
Apply direct method to determine geographical coordinate of the interpolated
point
2014/12/07 09:00:00
2014/12/07 09:10:00

2014/12/07 08:50:00

Point A

Interpolated point
on the date of
SAR echo

Point B

Time interval of interpolation
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Institut Mines-Télécom

Soutenance de stage – Romy ARDIANTO

Extrapolation
 Algorithm
1.
2.
3.
4.
5.

Selection of VMS/AIS data with ± 3h on the date of SAR echo
Selection of 2 positions closest to the date of SAR echo
Apply inverse method to calculate the geographical distance and azimuth
between point A and B
Calculate the extrapolation distance (based on time difference between the
date of point B and SAR echo, and the speed of vessel point B)
Apply direct method to determine geographical coordinate of the extrapolated
point

2014/12/07 08:50:00

Point A

2014/12/07 09:00:00

Point B

2014/12/07 09:10:00

Extrapolated point
on the date of
SAR echo

Time interval of extrapolation

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06-Oct-17

Institut Mines-Télécom

Soutenance de stage – Romy ARDIANTO

Estimation of VMS position (1/2)
Example: estimation of VMS position applied on a SAR imagery in the Arafura Sea :
RS2_FNB_1FSINB20150110_091825_00000022xF0W_16bxx_36926_71407_0sauh1

Vessel 1

Vessel 2

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Institut Mines-Télécom

Soutenance de stage – Romy ARDIANTO

Estimation of VMS position (2/2)

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Institut Mines-Télécom

Soutenance de stage – Romy ARDIANTO

Correlation of satellite data (SARVMS-AIS) and SAR performance
characterization

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Institut Mines-Télécom

Soutenance de stage – Romy ARDIANTO

SAR Doppler effect (1/2)
 Doppler effect (Doppler shift)
• Definition: the change in frequency or wavelength of a
wave for an observer who is moving relative to the
wave source
• Radar applications:
─ Speed measuring
─ Moving target indication

• Illustration of Doppler effect:

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Institut Mines-Télécom

Soutenance de stage – Romy ARDIANTO

SAR Doppler effect (2/2)
 Doppler effect application to estimate the real position of
SAR echo

D y = R´

v
= K ´v
V

D y : Décalage Doppler [m]
R : Distance cible  par satellite [m]
v  :Vitesse radiale cible [m / s]
V  :Vitesse sol du satellite [m / s]
K : DopplerShiftCoefficient

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Institut Mines-Télécom

Soutenance de stage – Romy ARDIANTO

Distance parameters (Dneigh and Dmax)
SAR echo
Interpolated/extrapolated VMS/AIS