SAR Imagery Analysis for Defence and Security

Presentation on Esri European User Conference by Daniel Carrasco, Rosana Romero and Ainhoa Mendizábal from Indra.

1. ESRI Conference

SAR Imagery Analysis for
Defence and Security

Daniel Carrasco
Ros: Romero

2. 00 About Indra

01 Introduction

02 Imagery Exploitation Approach for Defence & Security
03 GMOSAIC project

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3. er IT company in Spain and a
multinational in Europe and Latam

Own solutions and technology

Differential business model based on Innovation

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Among the 3 largest European IT services companies by market cap

4. Transportation & Traffic
gy & Industry

— Telecom 8 Media

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Command Control & Comms.
Aerial Defence

Electronic Warfare
Simulation

Homeland Security

(...)

Space

SAR Imagery Analysis for Defence and Security

5. 18 years experience in
satellite ground
segment

* Helios | & Il

= Pleiades

= SMOS

= Ingenio & Paz
= METOP
Etc

High level data
processing and

dissemination systems

= Civilian and Defence
systems

= Spatial Data Infrastructures
= MoD exploitation systems
= SAR data processing

= Urban geoinformation
management

Remote Sensing
applications and
services

= GMES
"R&D
= Training

= High volume cartographic
production

™ Imagery supply

= Advanced geoinformation
" Certified developer for
ERDAS, ESRI, Intergraph

™ Consultancy and market
studies

7] SAR Imagery Analysis for Defence and Security

6. BARCELONA
VISTA DESDE EL TIBIDABO...

EN UN DIA DE NIEBLA

Barcelona as seen from
Tibidabo in a foggy day

E Barcelona de Noche

Barcelona at night

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8. es: you program, you get it!

r + Day and Night

s: it is hard to use! (radically distinct from optical)
ecialised training

Is present distinct spectral and radiometric characteristics from optical
fa, So a different analysis is required. We see different things!

Cannot replace optical imagery photointerpretation
performance, but it can be the only choice!

Caveat: Wrong expectations, prejudices and lack of training or
processing infrastructure can make optical analysts reluctant to
use SAR imagery and yield project failure. A new mindset is
needed

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9. Crisis situations,
where more frequent
acquisitions are
needed.

Acomplement to
optical imagery.

Best performance
when the area is
previously known
and we focus on
changes.

Only in exceptional
cases, when optical
data is not available,
the analysis of an
area can be based

only on SAR images.

One image is used
for target detection,
recognition, and
identification.

Pair of images is
used for change
detection. Can use
radar phase!

Set of images are
used for temporal

analysis of changes.

SAR Imagery Analysis for Defence and Security

10. SLC/detected

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11. basic products
H products (standard image)

™ with own DEM
™ at our facilities

Change detection basic products
Automatic processing

Time series for continuous surveillance

Combined Amplitude/Phase advanced products
™ Additional information without counterpart in optical imagery

SAR Imagery Analysis for Defence and Security

13. TSX HS Image (<1 m)

Floating dock

15. X SL Image (>1 m)

16. 2003-04

SAR Imagery Ahalys

17. Vessel is removed in
Date3

Vessel is removed in
Date3

Vessel appears in Date3

Mobile pontoon is moved
between Date2 and Date3 and
the crane is removed in Date3

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Image of Date2
i Gy B: Image of Date3

18. ] SAR Super Resolution Image Viewer

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33. CSK SL Image (<1 m) SSI CSK SL Image (<1 m)

May 2009

po

Summer 2009 (5 images)

34. SSI CSK HS S Image (<1 m) (5 Images)

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35. : Superresolution images ease and improve the
lysis wrt

eduction without spatial resolution loss.

der definition.

ic features and textures: forest, trees,...

ures.

Drawbacks:
"Higher cost: at least 3-4 images are needed to obtain an
acceptable SSI image.
"Choice of the dates is very important for a proper interpretation
of the changes.

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36. CSK HS Images (<1 m)

Red: Removed features
: New features

Features are
present in both images but
they have been moved

Blue: Non changed
features with low
backscattering

White: Non nged
features with high
backscattering

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37. : elementos que desaparecen
Verde: elementos que aparecen
: elementos que han cambiado entre las dos fechas
Azul: elementos que no cambian con reflectividad baja
Blanco: elementos que no cambian con reflectividad alta

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Indra SAR tool for the exploitation of SAR products & Imagery Analysis. Plug-in for
standard COTS for Image Processing

39. ind pilot services for the provision of geo- spatial
pport of EU external actions for security related

Gmesaic

Service Casa #5
Nuclear and Non Proliferation
Monitoring

intelligence and early
warning and Crisis
Management Operations.

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40. Daniel Carrasco
Rosana Romero
Ainhoa Mendizabal

Remote Sensing Systems
Indra Espacio

Mar Egeo, 4.
Polígono Industrial n° 1

28830 San Fernando de Henares
Madrid España

T [phone]

F [phone]
www.indra.es