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Performance Prediction of Optronic Sensors in Maritime Environment

This research outlines the development of a calculation library for predicting optronic sensor performances in maritime settings. It includes the integration of computational modules developed by various institutions. The study analyzes the influence of environmental factors on sensor performances and presents initial results and conclusions.

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Performance Prediction of Optronic Sensors in Maritime Environment

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

  2. 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

  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 www.osmosis-project.org

  6. LIBPIR: Some intermediary results

  7. First resultsInfluence of environment on performances of optronic sensors • Sensor: • 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 = 0.9 Albedo = 0.1 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 = -10°C ASTD = 0°C

  11. First results Influence of ASTD on an optronic scene ASTD = 0°C ASTD = +10°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. ASTD = -10°C ASTD = +10°C Range = 4.5 km

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

  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: • 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

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