performances prediction of optronic sensors in maritime environment itbms 2011 – 27-30 june

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L. Gardenal (CS, France) D. Dion (RDDC-Valcartier, Canada) F. Lapierre (ERM, Belgium) E. Mandine (CS, France). Performances prediction of optronic sensors in maritime environment ITBMS 2011 – 27-30 June. Outline. Frame Overview on the LIBPIR library First results Future work Perspectives. - PowerPoint PPT Presentation

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Performances prediction

of optronic sensors inmaritime environment

ITBMS 2011 – 27-30 JuneL. Gardenal (CS, France)D. Dion (RDDC-Valcartier,

Canada)F. Lapierre (ERM, Belgium)

E. Mandine (CS, France)

CS Communication & Systèmes – ITBMS 20112

Outline

Frame

Overview on the LIBPIR library

First results

Future work

Perspectives

CS Communication & Systèmes – ITBMS 20113

Frame

Since more than 10 years, CS works on optronic projects in different context (MWPS [maritime security], Basirn [IR images data base], Sypir, …)

3 years ago, CS has decided to invest on the development of a calculation library for predicting performances of optronic sensor

LIBPIR is the pedestal of a future PREDIR

First version of LIBPIR has just been completed by CS with the help of DRDC Valcartier and ERM

SMARTI : computational module developped by DRDC (Defence R&D Canada) including MODTRAN

OSMOSIS : opensource library developped by ERM (Royal Military Academy of Belgium)

It is currently integrated in the French Navy TDA « PSAD » by DCNS group

PSAD will provide the future french frigate FREMM with AC/EM/IR sensor performance assessment

CS Communication & Systèmes – ITBMS 20114

Overview on the LIBPIR library (2/2)

TARGET- CAD

- Emissivity...

OSMOSISFacet surface temperature

Radiance target

calculation

Intrinsic target radiance

Meteorological and

environmental description

Reader

PROPAGATION MEDIUM

- Meteorological profiles

- Marine surface layer

- Sky+land+sea- ...

MODTRAN

SMARTI

Ray paths

Transmittances

Path radiances

Background radiances

SENSOR- Height

- Spectral band- Resolution

- ...

Target IR signature

calculationTarget radiance

2D optronic scene

Optical horizon, Maximum

InterVision Range

2D optronic scene

generator

3D intrinsic target radiance

image generator

Sensor performances

calculation

3D intrinsic target radiance image

Contrast, Detection

probability, DRI ranges

CS Communication & Systèmes – ITBMS 20115

LIBPIR Calculation components

SMARTI (DRDC-Valcartier) Spectral and wideband CK transmittance & radiance

MODTRAN molecular extinctions (CK)

Marine surface layer model

MODTRAN and DRDC aerosol models

DRDC accurate refracted path calculation

Lambert and Sea surface (DRDC analytical model) BRDF

Reference: DENIS DION

Osmosis (ERM) Open-source target surface temperature Modeling Software

Fast and robust software

Validation : CUBI project

Reference: FABIAN LAPIERRE or www.osmosis-project.org

CS Communication & Systèmes – ITBMS 20116

LIBPIR: Some intermediary results

1E-43

1E-41

1E-39

1E-37

1E-35

1E-33

1E-31

1E-29

1E-27

1E-25

1E-23

1E-21

1E-19

1E-17

1E-15

1E-13

1E-11

0.000000001

0.0000001

0.00001

0.001

0.1

0 5000 10000 15000 20000 25000

Distance (m)

Tra

nsm

itta

nce

LIBPIR IR3 LIBPIR ADVECTIVE FOG LIBPIR // RADIATIVE FOG

0

20

40

60

80

100

120

140

160

180

200

0 5000 10000 15000 20000 25000 30000 35000 40000

RANGE

HE

IGH

T

CS Communication & Systèmes – ITBMS 20117

First resultsInfluence of environment on performances of optronic

sensorsSensor: 3 FOV:

• 40°x30° (for short ranges)• 5°x3.75°(for medium ranges)• 2°x1.5° (for long ranges)

Height: 10 m

MidWave

Environment: 3 RH: 50, 80 and 95%

3 WSPD: 5, 10 and 15 m/s

3 ASTD: -10, 0 and 10 °C

Advective and radiative fogs

12h00 // MAY 2010

Place: Mediterranean sea (South of France)

Target: Destroyer

CS Communication & Systèmes – ITBMS 20118

First results First task: Definition of optical properties on the target

VISIBLE / 12h00

50°C

Albedo = 0.9

Albedo = 0.5

Albedo = 0.1

CS Communication & Systèmes – ITBMS 20119

First results IR signature: influence of the optronic band

VISIBLE SWIR

LWIRMWIR

CS Communication & Systèmes – ITBMS 201110

First results Influence of ASTD on an optronic scene

ASTD = 0°C ASTD = -10°C ASTD = +10°C

10 km

20 km 5*3.75°

CS Communication & Systèmes – ITBMS 201111

First results Influence of ASTD on an optronic scene

ASTD = 0°C ASTD = -10°C ASTD = +10°C

Apparition of mirage (ASTD < 0°C)

Compression of target image (ASTD growing)

Variation of optical horizon

Limitation of the target detected form (ASTD < 0°C)

20 km

2*1.5°

CS Communication & Systèmes – ITBMS 201112

Range = 4.5 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201113

Range = 5.6 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201114

Range = 6.7 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201115

Range = 7.8 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201116

Range = 8.9 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201117

Range = 10.0 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201118

Range = 11.1 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201119

Range = 12.2 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201120

Range = 13.3 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201121

Range = 14.4 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201122

Range = 15.5 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201123

Range = 16.6 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201124

Range = 17.7 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201125

Range = 18.8 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201126

Range = 19.9 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201127

Range = 18 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201128

Range = 16.6 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201129

Range = 15.5 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201130

Range = 14.4 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201131

Range = 13.3 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201132

Range = 12.2 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201133

Range = 11.1 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201134

Range = 10.0 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201135

Range = 8.9 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201136

Range = 7.8 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201137

Range = 6.7 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201138

Range = 5.6 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201139

Range = 4.5 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201140

Range = 4.5 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201141

Range = 4.5 km

ASTD = +10°C

ASTD = -10°C

CS Communication & Systèmes – ITBMS 201142

First results Fog examples

LWC = 0.01 g/m3Range = 1 km

LWC = 0.01 g/m3Range = 0.5 km

LWC = 0.01 g/m3Range = 1 km

LWC = 0.01 g/m3Range = 0.5 km

ADVECTIVE RADIATIVE

CS Communication & Systèmes – ITBMS 201143

Some first performance results

Contraste max

Detection probability (PoD) Max value

Using « noise equivalent irradiance » (5e-9 W/m2) for calculating signal to noise ratio

Using Detection probability curves

Pfa = 10-5

DRI ranges Based on Jonhson Critera (NvTherm approach)

Acquistion probability = 0.99

CS Communication & Systèmes – ITBMS 201144

First results Influence of relative humidity on contrast

0

10

20

30

40

50

60

70

80

90

100

5000 7000 9000 11000 13000 15000 17000 19000

RANGE (m)

CO

NT

RA

ST

(%

)

RH = 50 p.c. RH = 80 p.c. RH = 95 p.c.

CS Communication & Systèmes – ITBMS 201145

First results Influence of wind speed on contrast

0

10

20

30

40

50

60

70

80

90

100

5000 7000 9000 11000 13000 15000 17000 19000

RANGE (m)

CO

NT

RA

ST

(%

)

WSPD = 5 m/s WSPD = 10 m/s WSPD = 15 m/s

CS Communication & Systèmes – ITBMS 201146

First results Influence of relative humidity on PoD

0

10

20

30

40

50

60

70

80

90

100

5000 7000 9000 11000 13000 15000 17000 19000

RANGE (m)

Pd

(%

)

RH = 50 p.c. C RH = 80 p.c. RH = 95 p.c.

CS Communication & Systèmes – ITBMS 201147

First results Influence of wind speed on PoD

0

10

20

30

40

50

60

70

80

90

100

5000 7000 9000 11000 13000 15000 17000 19000

RANGE (m)

Pd

(%

)

WSPD = 5 m/s WSPD = 10 m/s WSPD = 15 m/s

CS Communication & Systèmes – ITBMS 201148

First results Influence of relative humidity on DRI ranges

0

5000

10000

15000

20000

25000

30000

35000

40000

45000

Identification Recognition Detection

Range (m)

RH = 50 p.c. RH = 80 p.c. RH = 95 p.c.

CS Communication & Systèmes – ITBMS 201149

First results Influence of wind speed on DRI ranges

0

5000

10000

15000

20000

25000

30000

35000

Identification Recognition Detection

Range (m)

WSPD = 5 m/s WSPD = 10 m/s WSPD = 15 m/s

CS Communication & Systèmes – ITBMS 201150

First conclusions

LibPir results coherent with what is expected: Contrast is better with

• Low relative humidity (small differences)

• Low wind speed

System PoD is better with:

• Low relative humidity (small differences)

• Low wind speed

Estimation of DRI sensor performances: Better with low relative humidity and low wind speed

LibPir calculation time: 1 to few minutes

Calculation coherent along the atmospheric column

Marine surface layer characteristics are taken into account refraction

presence of sea aerosol particles

humidity gradient

CS Communication & Systèmes – ITBMS 201151

Future works and perspectives

Future works : Take into account Inhomogeneous environnement by coupling LIBPIR with a NWP

model (like Arome from Meteo France)

Add Turbulence effects (scintillation, diffusion and centroïd move)

Use Sea, land and sky texture (for IR scene purpose)

Improve

• sensor model (MRTD, PoD)

• Air target model (plume, gaz, …)

• Surface target model (e.g. adding wake)

Work with Matisse

… integration in a stand-alone software (PREDIR)

Short-term perspective: Measurement campaign for Aerosol model improvement

Validation of the coupling of Meteo France NWP Arome with a 3D aerosol extinction

CS Communication & Systèmes – ITBMS 201152

Performances prediction of optronic sensors in maritime environment

Thank you for your attention

Any questions ?

Mail: lionel.gardenal@c-s.fr

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