DOI QR코드

DOI QR Code

Imaging Performance Analysis of an EO/IR Dual Band Airborne Camera

  • Received : 2011.02.23
  • Accepted : 2011.03.31
  • Published : 2011.06.25

Abstract

An airborne sensor is developed for remote sensing on an aerial vehicle (UV). The sensor is an optical payload for an eletro-optical/infrared (EO/IR) dual band camera that combines visible and IR imaging capabilities in a compact and lightweight package. It adopts a Ritchey-Chr$\'{e}$tien telescope for the common front end optics with several relay optics that divide and deliver EO and IR bands to a charge-coupled-device (CCD) and an IR detector, respectively. The EO/IR camera for dual bands is mounted on a two-axis gimbal that provides stabilized imaging and precision pointing in both the along and cross-track directions. We first investigate the mechanical deformations, displacements and stress of the EO/IR camera through finite element analysis (FEA) for five cases: three gravitational effects and two thermal conditions. For investigating gravitational effects, one gravitational acceleration (1 g) is given along each of the +x, +y and +z directions. The two thermal conditions are the overall temperature change to $30^{\circ}C$ from $20^{\circ}C$ and the temperature gradient across the primary mirror pupil from $-5^{\circ}C$ to $+5^{\circ}C$. Optical performance, represented by the modulation transfer function (MTF), is then predicted by integrating the FEA results into optics design/analysis software. This analysis shows the IR channel can sustain imaging performance as good as designed, i.e., MTF 38% at 13 line-pairs-per-mm (lpm), with refocus capability. Similarly, the EO channel can keep the designed performance (MTF 73% at 27.3 lpm) except in the case of the overall temperature change, in which the EO channel experiences slight performance degradation (MTF 16% drop) for $20^{\circ}C$ overall temperate change.

Keywords

References

  1. R. A. Schowengerdt, Remote Sensing (Academic Press, USA, 2007), Chapter 1.
  2. C. Cox, S. Kishner, and R. Whittesy, "Reconnaissance payloads for responsive space," AIAA-3rd Responsive Space Conference (2005).
  3. D. Zhang, G. Ma, and H. Liu, "Aerial reconnaissance camera using optical drum and mirror rotation mechanicsm," in Proc. Systems and Control in Aeronautics and Astronautics (Harbin, China, 2010), pp. 415-418.
  4. J. H. Lee, T. S. Jang, H.-S. Yang, and S.-W. Rhee, "Optical design of a compact imaging spectrometer for STSAT3," J. Opt. Soc. Korea 12, 262-268 (2008). https://doi.org/10.3807/JOSK.2008.12.4.262
  5. M. Stanton, W. C. Phillips, Y. Li, and K. Kalata, "The detective quantum efficiency of CCD and vidicon-based detectors for X-ray crystallographic applications," J. Appl. Cryst. 25, 638-645 (1992). https://doi.org/10.1107/S0021889892005211
  6. http://www.e2v.com.
  7. http://www.sofradir.com.
  8. M. Henini and M. Razeghi, Handbook of Infrared Detection Technologies (Elsevier Science Ltd., Oxford, UK, 2002), Chapter 2.
  9. S. R. Beran, A. J. Partynski, A. M. Baker, and J. Jones, "Cassegrain optical system for framing aerial reconnaissance camera," US patent 6374047 (2002).
  10. V. Petrushevsky, Y. Karklinsky, and A. Chernobrov, "ELOp EO/IR LOROP camera: image stabilization for dual-band whiskbroom scanning photograpy," Proc. SPIE 4820, 607-617 (2003). https://doi.org/10.1117/12.453838
  11. S. Seong, J. Yu, D. Ryu, J. Hong, J.-Y. Yoon, S.-W. Kim, J.-H. Lee, and M.-J. Shin, "Imaging and radiometric performance simulation for a new high performance dual band airborne reconnaissance camera," Proc. SPIE 7307, 730705-1-730705-11 (2009).
  12. Y. An, C.-P. Song, R.-J. Kuang, and G. Jin, "Research on the device of non-angular vibration for opto-eltronic platform," Proc. SPIE 7659, 76590H-1-76590H-6 (2010).
  13. http://www.zemax.com.
  14. R. J. Noll, "Zernike polynomials and atmospheric turbulence," J. Opt. Soc. Am. 66, 207-211 (1976). https://doi.org/10.1364/JOSA.66.000207
  15. N. Roddier, "Atmospheric wavefront simulation and Zernike polynomials," Proc. SPIE 1237, 668-679 (1990). https://doi.org/10.1117/12.19346
  16. W. J. Smith, Modern Lens Design (McGraw-Hill, USA, 2005), Chapter 23.
  17. T. Sasak, M. Shinkai, K. Higashiyama, F. Tanaka, and T. Kishinami, "Development of statistical tolerancing system for optical product - virtual PT system and mass product simulation," Proc. SPIE 3482, 528-537 (1998). https://doi.org/10.1117/12.321990
  18. ZEMAX Optical Design Program User's Guide (ZEMAX Development Corporation, USA, 2005), Chapter 11.

Cited by

  1. Polarization Properties of Quasi-Homogeneous Beams Propagating in Oceanic Turbulence vol.17, pp.2, 2013, https://doi.org/10.3807/JOSK.2013.17.2.130
  2. Non-imaging Optical Design of a Measurement Probe for LCD Display Used in a Color Analyzer vol.22, pp.5, 2011, https://doi.org/10.3807/KJOP.2011.22.5.239
  3. Measurement of the Modulation Transfer Function of Infrared Imaging System by Modified Slant Edge Method vol.20, pp.3, 2016, https://doi.org/10.3807/JOSK.2016.20.3.381
  4. Dual Band Optical Window (DBW) for Use on an EO/IR Airborne Camera vol.16, pp.1, 2012, https://doi.org/10.3807/JOSK.2012.16.1.063
  5. Dynamic Modulation Transfer Function Analysis of Images Blurred by Sinusoidal Vibration vol.20, pp.6, 2016, https://doi.org/10.3807/JOSK.2016.20.6.762
  6. Effect of Dimensional Stability of Composites on Optical Performances of Space Telescopes vol.27, pp.1, 2014, https://doi.org/10.1061/(ASCE)AS.1943-5525.0000237
  7. Coupled Microvibration Analysis of Space Optical Load Platform vol.56, pp.9, 2018, https://doi.org/10.2514/1.J056857