L. Gardenal (CS, France) D. Dion (RDDC-Valcartier, Canada) F

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1 Performances prediction of optronic sensors in maritime environment ITBMS 2011 – 27-30 June
L. Gardenal (CS, France) D. Dion (RDDC-Valcartier, Canada) F. Lapierre (ERM, Belgium) E. Mandine (CS, France)

2 Overview on the LIBPIR library
Outline Frame Overview on the LIBPIR library First results Future work Perspectives

3 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 CAD "computer-aided design". DCNS French naval shipbuilder

4 Overview on the LIBPIR library (2/2)

5 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

6 LIBPIR: Some intermediary results

7 First results Influence of environment on performances of optronic sensors
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

8 First results First task: Definition of optical properties on the target
Albedo = 0.5 50°C Albedo = 0.1 Albedo = 0.9 VISIBLE / 12h00

9 First results IR signature: influence of the optronic band
VISIBLE SWIR LWIR MWIR

10 First results Influence of ASTD on an optronic scene
10 km 20 km 5*3.75° ASTD = -10°C ASTD = 0°C ASTD = +10°C

11 First results Influence of ASTD on an optronic scene
ASTD = -10°C ASTD = 0°C ASTD = +10°C 20 km 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) 2*1.5°

12 Range = 4.5 km ASTD = +10°C ASTD = -10°C

13 Range = 5.6 km ASTD = +10°C ASTD = -10°C

14 Range = 6.7 km ASTD = +10°C ASTD = -10°C

15 Range = 7.8 km ASTD = +10°C ASTD = -10°C

16 Range = 8.9 km ASTD = +10°C ASTD = -10°C

17 Range = 10.0 km ASTD = +10°C ASTD = -10°C

18 Range = 11.1 km ASTD = +10°C ASTD = -10°C

19 Range = 12.2 km ASTD = +10°C ASTD = -10°C

20 Range = 13.3 km ASTD = +10°C ASTD = -10°C

21 Range = 14.4 km ASTD = +10°C ASTD = -10°C

22 Range = 15.5 km ASTD = +10°C ASTD = -10°C

23 Range = 16.6 km ASTD = +10°C ASTD = -10°C

24 Range = 17.7 km ASTD = +10°C ASTD = -10°C

25 Range = 18.8 km ASTD = +10°C ASTD = -10°C

26 Range = 19.9 km ASTD = +10°C ASTD = -10°C

27 Range = 18 km ASTD = +10°C ASTD = -10°C

28 Range = 16.6 km ASTD = +10°C ASTD = -10°C

29 Range = 15.5 km ASTD = +10°C ASTD = -10°C

30 Range = 14.4 km ASTD = +10°C ASTD = -10°C

31 Range = 13.3 km ASTD = +10°C ASTD = -10°C

32 Range = 12.2 km ASTD = +10°C ASTD = -10°C

33 Range = 11.1 km ASTD = +10°C ASTD = -10°C

34 Range = 10.0 km ASTD = +10°C ASTD = -10°C

35 Range = 8.9 km ASTD = +10°C ASTD = -10°C

36 Range = 7.8 km ASTD = +10°C ASTD = -10°C

37 Range = 6.7 km ASTD = +10°C ASTD = -10°C

38 Range = 5.6 km ASTD = +10°C ASTD = -10°C

39 Range = 4.5 km ASTD = +10°C ASTD = -10°C

40 Range = 4.5 km ASTD = +10°C ASTD = -10°C

41 Range = 4.5 km ASTD = +10°C ASTD = -10°C

42 First results Fog examples
ADVECTIVE RADIATIVE LWC = 0.01 g/m3 Range = 1 km LWC = 0.01 g/m3 Range = 1 km LWC = 0.01 g/m3 Range = 0.5 km LWC = 0.01 g/m3 Range = 0.5 km

43 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

44 First results Influence of relative humidity on contrast

45 First results Influence of wind speed on contrast

46 First results Influence of relative humidity on PoD

47 First results Influence of wind speed on PoD

48 First results Influence of relative humidity on DRI ranges

49 First results Influence of wind speed on DRI ranges

50 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: 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

51 Future works and perspectives
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

52 Performances prediction of optronic sensors in maritime environment
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