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Research on synthetic aperture radar imaging technology of one-dimensional layered rough surfaces |
Ji Wei-Jie (姬伟杰)a, Tong Chuang-Ming (童创明)a b |
a Missile Institute of Air Force Engineering University, Xi'an 713800, China; b State Key Laboratory of Millimeter Waves, Nanjing 210096, China |
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Abstract A quick and exact imaging method for one-dimensional layered rough surfaces is proposed in this paper to study the scattering characteristics of layered medium that exists widely in nature. The boundary integral equations of layered rough surfaces are solved by using the propagation-inside-layer expansion combining the forward and backward spectral acceleration method (PILE+FB-SA), and the back scattering data can be obtained. Then, a conventional synthetic aperture radar (SAR) imaging procedure called back projection method is used to generate two-dimensional (2D) image of the layered rough surfaces. Combining the relative dielectric permittivity of realistic soil, the random rough surfaces with Gauss spectrum are used to simulate the layered medium with rough interfaces. Since the back scattering data are computed by using the fast numerical method, this method can be used to study layered rough surfaces with any parameter, which has a great application value in the detection and remote sensing areas.
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Received: 17 March 2012
Revised: 04 July 2012
Accepted manuscript online:
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PACS:
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03.50.De
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(Classical electromagnetism, Maxwell equations)
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03.65.Ge
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(Solutions of wave equations: bound states)
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Fund: Project supported by the State Key Laboratory Fund of Millimeter Waves, Nanjing, China (Grant No. K201201) and the Natural Science Foundation Research Programs of Shannxi Province, China (Grant No. 2011JM8025). |
Corresponding Authors:
Ji Wei-Jie
E-mail: jiweijie01@163.com
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Cite this article:
Ji Wei-Jie (姬伟杰), Tong Chuang-Ming (童创明) Research on synthetic aperture radar imaging technology of one-dimensional layered rough surfaces 2013 Chin. Phys. B 22 020301
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[1] |
Wang Y Q and Broschat S L 2011 Waves in Random and Complex Media 21 57
|
[2] |
Ye H X and Jin Y Q 2006 IEEE Trans. Geosci. Remote Sens. 44 108
|
[3] |
Niamsuwan N, Johnson J T and Jezek K C 2011 Waves in Random and Complex Media 21 184
|
[4] |
Wang Y H, Zhang Y M, He M X and Guo L X 2008 Chin. Phys. B 17 3696
|
[5] |
Toporkov J V and Sletten M A 2007 IEEE Trans. Geosci. Remote Sens. 45 1181
|
[6] |
Wang R, Guo L X and Wang A Q 2010 Acta Phys. Sin. 59 3179 (in Chinese)
|
[7] |
Zhang Y Q and Ge D B 2009 Acta Phys. Sin. 58 4573 (in Chinese)
|
[8] |
Tabatabaeenejad A and Moghaddam M 2006 IEEE Trans. Geosci. Remote Sens. 44 2102
|
[9] |
Soubret A G and Bourrely B C 2001 J. Opt. Soc. Am. A 18 2778
|
[10] |
Pinel N, Dechamps N, Bourlier C and Saillard J 2007 Waves in Random Complex Media 17 283
|
[11] |
Kuo C H and Moghaddam M 2006 IEEE Tans. Antennas Propag. 54 2917
|
[12] |
Moss C D, Grzegorczyk T M, Han H C and Kong J A 2006 IEEE Tans. Antennas Propag. 54 1006
|
[13] |
El-Shenawee M 2004 IEEE Trans. Geosci. Remote Sens. 42 67
|
[14] |
Zhai Y B, Ping X W, Zhou X Y, Zhang J F, Yu W M, Lu W B and Cui T J 2011 IEEE Trans. Geosci. Remote Sens. 49 1431
|
[15] |
Dechamps N, Beaucoudrey N D, Bourlier C and Toutain S 2006 J. Opt. Soc. Am. A 23 359
|
[16] |
Dechamps N and Bourlier C 2007 IEEE Trans. Geosci. Remote Sens. 55 2790
|
[17] |
Fortuny J and Sieber A J 1999 IEEE Trans. Geosci. Remote Sens. 37 1006
|
[18] |
Shimada M 2011 IEEE Trans. Geosci. Remote Sens. 49 1712
|
[19] |
Kim H and Johnson J T 2002 IEEE Trans. Antennas Propga. 50 94
|
[20] |
Alpers W and Huang W G 2011 IEEE Trans. Geosci. Remote Sens. 49 1114
|
[21] |
Thorsos A 1988 J. Opt. Soc. Am. A 83 78
|
[22] |
Tsang L, Chan C H, Pak K and Sangani H 1995 IEEE Trans. Antennas Propga. 43 851
|
[23] |
Chou H T and Johnson J T 2000 IEEE Trans. Geocis. Remote Sens. 38 605
|
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