DOI QR코드

DOI QR Code

A Modulation Transfer Function Compensation for the Geostationary Ocean Color Imager (GOCI) Based on the Wiener Filter

  • Oh, Eunsong (Korea Ocean Satellite Center, Korea Institute of Ocean Science and Technology) ;
  • Ahn, Ki-Beom (Korea Ocean Satellite Center, Korea Institute of Ocean Science and Technology) ;
  • Cho, Seongick (Korea Ocean Satellite Center, Korea Institute of Ocean Science and Technology) ;
  • Ryu, Joo-Hyung (Korea Ocean Satellite Center, Korea Institute of Ocean Science and Technology)
  • Received : 2013.09.07
  • Accepted : 2013.11.26
  • Published : 2013.12.15

Abstract

The modulation transfer function (MTF) is a widely used indicator in assessments of remote-sensing image quality. This MTF method is also used to restore information to a standard value to compensate for image degradation caused by atmospheric or satellite jitter effects. In this study, we evaluated MTF values as an image quality indicator for the Geostationary Ocean Color Imager (GOCI). GOCI was launched in 2010 to monitor the ocean and coastal areas of the Korean peninsula. We evaluated in-orbit MTF value based on the GOCI image having a 500-m spatial resolution in the first time. The pulse method was selected to estimate a point spread function (PSF) with an optimal natural target such as a Seamangeum Seawall. Finally, image restoration was performed with a Wiener filter (WF) to calculate the PSF value required for the optimal regularization parameter. After application of the WF to the target image, MTF value is improved 35.06%, and the compensated image shows more sharpness comparing with the original image.

Keywords

Acknowledgement

Supported by : Korean Institute of Ocean Science and Technology

References

  1. Choi T, IKONOS Satellite on Orbit Modulation Transfer Function (MTF) Measurement using Edge and Pulse Method, MSc Thesis, South Dakota State University (2002).
  2. Demoment G, Image reconstruction and restoration: Overview of common estimation structures and problems, Acoustics, Speech and Signal Processing, IEEE Transactions on 37, 2024-2036 (1989). https://doi.org/10.1109/29.45551
  3. Fienup JR, Griffith DK, Harrington L, Kowalczyk A, Miller JJ, et al., Comparison of reconstruction algorithms for images from sparse-aperture systems, Proc. SPIE, 4792, 1-8 (2002).
  4. Helstrom CW, Image restoration by the method of least squares, JOSA, 57, 297-303 (1967). https://doi.org/10.1364/JOSA.57.000297
  5. Holst GC, Electro-optical imaging system performance (SPIE press, Bellingham, Washington, 2008).
  6. Hu C, Feng L, Lee Z, Davis CO, Mannino A, et al., Dynamic range and sensitivity requirements of satellite ocean color sensors: Learning from the past, Applied Optics, 51, 6045-6062 (2012). https://doi.org/10.1364/AO.51.006045
  7. Hwang H, Choi YW, Kwak S, Kim M, Park W, et al., MTF assessment of high resolution satellite images using ISO 12233 slanted-edge method, in Proc. SPIE, 7109, 710905-1-9 (2008).
  8. Jeon B-I, Kim H, Chang YK, A MTF compensation for satellite image using L-curve-based modified Wiener filter, Korean Journal of Remote Sensing, 28, 561-571 (2012). https://doi.org/10.7780/kjrs.2012.28.5.8
  9. Jo HG, Kim JH, Choi SC, Lee SK, Kim J-M, et al., A study on the simulation method of satellite image quality considered design, manufacturing and operation, Korean Journal of Remote Sensing, 24, 591-603 (2008). https://doi.org/10.7780/kjrs.2008.24.6.591
  10. Leger D, Duffaut J, Robinet F, MTF Measurement Using Spotlight, Proc. IGARSS, 7803, 2010-2012 (1994).
  11. Reichenbach SE, Koehler DE, Strelow DW, Restoration and reconstruction of AVHRR images, Geoscience and Remote Sensing, IEEE Transactions on 33, 997-1007 (1995).
  12. Rojas F, Schowengerdt RA, Biggar SF, Error and correction for MODIS-AM's spatial response on the NDVI and EVI science products, Proc. SPIE, 4814, 447-456 (2002).
  13. Ruiz CP, Lopez FJA, Restoring SPOT images using PSF-derived deconvolution filters, International Journal of Remote Sensing, 23, 2379-2391 (2002). https://doi.org/10.1080/01431160110075857
  14. Ryu JH, Han HJ, Cho S, Park YJ, Ahn YH, et al., Overview of geostationary ocean color imager (GOCI) and GOCI data processing system (GDPS), Ocean Science Journal, 47, 223-233 (2012). https://doi.org/10.1007/s12601-012-0024-4
  15. Smith EHB, PSF estimation by gradient descent fit to the ESF, Proc. SPIE, 6059, 60590E-1-9 (2006).
  16. Tzannes AP, Mooney JM, Measurement of the modulation transfer function of infrared cameras, Optical Engineering, 34, 1808-1817 (1995). https://doi.org/10.1117/12.203133
  17. Viallefont F, Edge method for on-orbit defocus assessment, Optics Express, 18, 20, 20845-20851 (2010). https://doi.org/10.1364/OE.18.020845
  18. Viallefont F, Leger D, Improvement of the edge method for on-orbit MTF measurement, Optics Express, 18, 4, 3531-3545 (2010). https://doi.org/10.1364/OE.18.003531
  19. Wu HHP, Schowengerdt RA, Improved estimation of fraction images using partial image restoration, Geoscience and Remote Sensing, IEEE Transactions on 31, 771-778 (1993). https://doi.org/10.1109/36.239899
  20. Yin FF, Giger ML, Doi K, Measurement of the presampling modulation transfer function of film digitizers using a curve fitting technique, Medical Physics, 17, 962 (1990). http://dx.doi.org/10.1118/1.596463

Cited by

  1. An Efficient Data Processing Method to Improve the Geostationary Ocean Color Imager (GOCI) Data Service vol.30, pp.1, 2014, https://doi.org/10.7780/kjrs.2014.30.1.11
  2. GOCI image enhancement using an MTF compensation technique for coastal water applications vol.22, pp.22, 2014, https://doi.org/10.1364/OE.22.026908