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合成孔徑雷達(dá)原始數(shù)據(jù)幅相壓縮算法

姚世超,  王巖飛,  張冰塵,  廖蜀燕

姚世超, 王巖飛, 張冰塵, 廖蜀燕. 合成孔徑雷達(dá)原始數(shù)據(jù)幅相壓縮算法[J]. 電子與信息學(xué)報(bào), 2002, 24(11): 1627-1633.
引用本文: 姚世超, 王巖飛, 張冰塵, 廖蜀燕. 合成孔徑雷達(dá)原始數(shù)據(jù)幅相壓縮算法[J]. 電子與信息學(xué)報(bào), 2002, 24(11): 1627-1633.
Yao Shichao, Wang Yanfei, Zhang Bingchen, Liao Shuyan . Amplitude and phase compression algorithm of SAR raw data[J]. Journal of Electronics & Information Technology, 2002, 24(11): 1627-1633.
Citation: Yao Shichao, Wang Yanfei, Zhang Bingchen, Liao Shuyan . Amplitude and phase compression algorithm of SAR raw data[J]. Journal of Electronics & Information Technology, 2002, 24(11): 1627-1633.

合成孔徑雷達(dá)原始數(shù)據(jù)幅相壓縮算法

Amplitude and phase compression algorithm of SAR raw data

  • 摘要: 針對(duì)現(xiàn)代合成孔徑雷達(dá)(SAR)對(duì)相位信息越來(lái)越高的要求,該文根據(jù)SAR原始數(shù)據(jù)幅值和相位統(tǒng)計(jì)獨(dú)立的分布特點(diǎn),提出了對(duì)SAR原始數(shù)據(jù)的幅度和相位分別進(jìn)行量化的幅度相位壓縮算法,即AP(Amplitude ＆ Phase)算法;介紹了算法原理和實(shí)現(xiàn)流程圖;在實(shí)驗(yàn)基礎(chǔ)上分析了算法的性能;并將該算法與BAQ算法相比較,驗(yàn)證了AP算法能夠很好地保留原始數(shù)據(jù)的相位信息的特點(diǎn)。
    Abstract: The phase information becomes more and more important in the field of SAR applications. Considering the statistical independent property between phase and amplitude of SAR raw data, a new method is provided that the amplitude and phase of raw data are compressed respectively. In this paper, a flow chart shows that procession of the algorithm. The algorithm performance is analyzed based on real SAR raw data. Finally, the AP (Amplitude Phase) algorithm is compared with the BAQ algorithm. The performance of the AP algorithm is proved to be fine, especially in terms of the reservation of phase information.
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  • R. Kwok, Block adaptive quantization of Magellan SAR data, IEEE Trans. on Geosci. Remote Sensing, 1989, GRS-27(4), 375-383.[2]T.H. Joo, D. Held, An adaptive quantization method for burst mode synthetic aperture radar,Int. Radar Conf., Arlington, 1985, 385-390.[3]U. Benz, A fuzzy block adaptive quantizer(FBAQ) for synthetic aperture radar, In Proc. Fuzz-IEEE, Orlando, FL, 1994, 1583-1585.[4]Y. Linde, A. Buzo, R. M. Gray, An algorithm for vector quantizer design, IEEE Trans. on Comm.,1980, COM-2S(1), 84-95.[5]A. Moreira.[J].F. Blaeser, Fusion of block adaptive and vector quantizer for efficient SAR data compression, In Proc., IGARSS93, Tokyo.1993,:-[6]U. Benz, et al., A comparison of several algorithms for on-board SAR raw data compression,IEEE Trans. on Geosci. and Remote Sensing, 1995, GRS-33(5), 1266-1277.[7]王巖飛,賈守新,陳宗騭,合成孔徑雷達(dá)原始數(shù)據(jù)的二維壓縮算法,衛(wèi)星遙感圖象數(shù)據(jù)傳輸與壓縮技術(shù)專題研討會(huì)論文集,北京,1996,217-222.[8]李象霖,數(shù)字圖像處理,北京,中國(guó)科學(xué)技術(shù)大學(xué)研究生院,1996,83-91.[9]W.A. Pearlman, G. H. Senge, Optimal quantization of the Rayleigh probablity distribution,IEEE Trans. on Comm., 1979, COM-27(1), 101-112.[10]沈鳳麟,錢玉美,信號(hào)統(tǒng)計(jì)分析基礎(chǔ),北京,中國(guó)科學(xué)技術(shù)大學(xué)出版社,11-12.
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出版歷程
  • 收稿日期:  2000-11-24
  • 修回日期:  2002-04-15
  • 刊出日期:  2002-11-19

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