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In flight MTF monitoring and compensation for CCD camera on CBERS-02

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Abstract

In this article, the approach of simulating ideal tarp scene was proposed to determine the MTF for CCD camera on CBERS-02. The MTF acquired from this technique was compared to those from some common methods. MTFs achieved from different approaches were employed to compensate the CCD images based on three restoration algorithms: the iterative method, the Wiener filter and the modified inverse filter (MIF). The two-dimensional MTF was established with the value at frequency 0.5 for 45° directional MTF as the value at its four corners. This article addressed the variations of the restored CCD images with different techniques of constructing two-dimensional MTF, restoring algorithms and determining the in-flight MTFs. Results showed images restored with the MTF determined from the technique of simulating ideal tarp scene represent the real scene best. And the restoration technique based on the MIF would produce better restored images than the other two techniques. This research also demonstrated that the two-dimensional MTF used for restoration should be interpolated under the control of the MTF for 45° axis, rather than by multiplying the cross-orbit MTF with along-orbit MTF.

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References

  1. http://ltpwww.gsfc.nasa.gov/IAS/handbook/handbook_htmls/chapter9/chapter9.html

  2. Leger, D., Viallefont, F., Hillairet, E. et al., In-flight refocusing and refocusing and MTF assessment of SPOT5 HRG and HRS, SPIE, 2003, 4881: 224–231.

    Article  Google Scholar 

  3. Du, H., Voss, K. J., Effects of point-spread function on calibration and radiometric accuracy of CCD camera, Applied Optics, 2004, 43(3): 665–670.

    Article  Google Scholar 

  4. Forster, B. C., Best, P., Estimation of SPOT P-mode point spread sunction and derivation of a deconvolution filter, ISPRS Journal for RS and GIS, 1994, 49 (6): 32–42.

    Google Scholar 

  5. Kohm, K., Modulation transfer function measurement method and results for the orbview-3 high resultion imaging satellite, Proceedings of ISPRS 2004, Istanbul, Turkey, July 12–23, 2004.

  6. Taeyoung Choi, IKONOS satellite on orbit modulation transfer function (MTF) measurement using edge and pulse method, A thesis submitted in partial fulfillment of the requirements for the Master of Science Major in Engineering South Dakota State University, 2002.

  7. Schowengerdt, R. A., Archwamety, C., Wrigley, R. C., Landsat thematic mapper image-derived MTF, Photogrammetric Engineering and Remote Sensing, 1985, 51(9): 1395–1406.

    Google Scholar 

  8. Bretschneider, T., Bones, P. J., McNeill, S. et al., Image-based quality assessment of SPOT data, Proceedings of the American Society for Photogrammetry & Remote Sensing, St. Louis, April, 2001.

  9. Viallefont-Robinet, F., Henry, P., VEGETATION MTF in-flight measurement using HRVIR, Proceeding of the SPIE-Earth Observing Systems V, 2000, 4135: 314–323.

    Google Scholar 

  10. Fonseca, L. M. G., Prasad, G. S. S. D., Mascarenhas, N.D.A., Combined interpolation — restoration of Landsat images through FIR filter design techniques, International Journal of Remote Sensing, 1993, 14(13): 2547–2561.

    Article  Google Scholar 

  11. Boggione, G. A., Fonseca, L. M. G., Restoration of Landsat-7 Images, International Symposium on Remote Sensing of Environmental (ISRSE), Hawai, Nov. 2003.

  12. Puiz, C.R., Lopez, F. J. A., Restoring SPOT images using PSF-derived deconvolution filters, International Journal of Remote Sensing, 2002, 23(12): 2379–2391.

    Article  Google Scholar 

  13. Liu, Z.J., Wang, C.Y., Luo, C. F., Estimation of CBERS21 point spread function and image restoration Journal of remote sensing (in Chinese), 2004, 8 (3): 234–238.

    Google Scholar 

  14. Zeng, Y., Yu, J., Yang, X. M. et al., Research on MTF correction of CBERS-1 CCD image, Disquisition Collection on the application and research of CBERS-1 Data, China Center for Rresources Satellite Data & Application (in Chinese), Beijing, 2003.

  15. Li, X.Y., Gu, X.F., Yu, T. et al., Radiometric cross-calibration of the CEBERS-02 CCD camera with the TERRA MODIS, See in the same special issue.

  16. Patra, S. K., Mishra, N., Chandrakanth, R. et al., Image Quality Improvement through MTF compensation — a treatment to high resolution data, Indian Cartographer, 2002: 86–93.

  17. Xu, X. R., Wang, P. R., Computing atmospheric point spread function by Monte-Carlo Method, Journal of Remote Sensing (in Chinese), 1999, 3(4): 268–278.

    Google Scholar 

  18. Hu, B. X., Li, X. W., Zhu, C. G. et al., Deriving the anisotropic atmospheric point-spread function of off-nadir remote sensing, China Journal of Image and Graphics (in Chinese), 1996, 1(1): 19–29.

    Google Scholar 

  19. Chen, S. B., Zhu, G.F., Chen, H. et al., Restoration of images blurred by the atmosphere, based on mean MTF identification, Acta Photonica Sinica, 1998, 27(12): 1091–1097.

    Google Scholar 

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Correspondence to Li Xiaoying.

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Gu, X., Li, X., Min, X. et al. In flight MTF monitoring and compensation for CCD camera on CBERS-02. Sci. China Ser. E-Technol. Sci. 48 (Suppl 2), 29–43 (2005). https://doi.org/10.1007/BF03039423

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  • DOI: https://doi.org/10.1007/BF03039423

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