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http://dx.doi.org/10.7780/kjrs.2008.24.2.99

SAR Image Impulse Response Analysis in Real Clutter Background  

Jung, Chul-Ho (Department of Avionics, Korea Aerospace University)
Jung, Jae-Hoon (Department of Avionics, Korea Aerospace University)
Oh, Tae-Bong (Department of Avionics, Korea Aerospace University)
Kwang, Young-Kil (Department of Avionics, Korea Aerospace University)
Publication Information
Korean Journal of Remote Sensing / v.24, no.2, 2008 , pp. 99-106 More about this Journal
Abstract
A synthetic aperture radar (SAR) system is of great interest in many fields of civil and military applications because of all-weather and luminance free imaging capability. SAR image quality parameters such as spatial resolution, peak to sidelobe ratio (PSLR), and integrated sidelobe ratio (ISLR) can be normally estimated by modeling of impulse response function (IRF) which is obtained from various system design parameters such as altitude, operational frequency, PRF, etc. In modeling of IRF, however, background clutter environment surrounding the IRF is generally neglected. In this paper, analysis method for SAR mage quality is proposed in the real background clutter environment. First of all, SAR raw data of a point scatterer is generated based on various system parameters. Secondly, the generated raw data can be focused to ideal IRF by range Doppler algorithm (RDA). Finally, background clutter obtained from image of currently operating SAR system is applied to IRF. In addition, image quality is precisely analyzed by zooming and interpolation method for effective extraction of IRF, and then the effect of proposed methodology is presented with several simulation results under the assumption of estimation error of Doppler rate.
Keywords
Synthetic aperture radar; SAR image quality parameter; Impulse response function; Real background clutter environment; Zooming and interpolation method;
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  • Reference
1 Jung, C. H., M. S. Choi, and Y. K. Kwag, 2007. Parameter based SAR simulator for image quality evaluation, Proc. of 2007 International Geoscience and Remote Sensing Symposium, Barcelona, Spain, Jul. 23-27.
2 Letsch, K. and P. Berens, 2005. PSLR estimation for SAR systems with consideration of clutter background, Proc. of 2005 SPIE International Society for Optical Engineering, Brugge, Belgium, Sep. 19.
3 Brigham, E. O., 1988. Fast fourier transform and its applications, Prentice-Hall.
4 Cumming, I. G. and F. H. Wong, 2002. Digital processing of synthetic aperture radar data, Artech House, Norwood, MA, USA.
5 Horrell, J. M. and M. R. Inggs, 1998. Low frequency range-Doppler SAR processing without secondary range compression, Proc. of 1998 South Africa Symposium on Communications and Signal Processing, Rondebosch, South Africa, Sep. 7-8.
6 Henderson, F. M. and Z. G. Xia, 1997. SAR applications in human settlement detection, population estimation and urban land use pattern analysis: a status report, IEEE transactions on Geoscience and Remote Sensing, 35(1): 79-85.
7 Srivastava, S. K., B. T. Banik, P. Le. Dantec, R. K. Hawkins, T. I. Lukowski, and K. P. Murnaqhan, 2001. RADARSAT-1 image quality/five years of achievement, Proc. of 2001 International Geoscience and Remote Sensing Symposium, Sydney, Australia, Jul. 9-13
8 Allan, J. M. and M. J. Collins, 2006. Design and testing of a java-based digital SAR signal simulation system, Proc. of 2006 International Geoscience and Remote Sensing Symposium, Denver, Colorado, US, Jul. 31-Aug. 4.
9 Romeiser, R. and H. Runge, 2007. Theoretical evaluation of several possible along-track InSAR modes of TerraSAR-X for ocean current measurements, IEEE transactions on Geoscience and Remote Sensing, 45(1): 21-35.   DOI   ScienceOn
10 Meadows, P. J. and P. A. Wright, 2002. ASAR IMP image quality (VV polarisation), Proc. of the Envisat Calibration Review, ESTEC ESA, Noordwijk, Netherlands, Sep. 9-13.