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基于小波的SAR原始数据幅相压缩算法

周梅 张志敏 邓云凯

周梅, 张志敏, 邓云凯. 基于小波的SAR原始数据幅相压缩算法[J]. 电子与信息学报, 2007, 29(10): 2363-2366. doi: 10.3724/SP.J.1146.2006.00444
引用本文: 周梅, 张志敏, 邓云凯. 基于小波的SAR原始数据幅相压缩算法[J]. 电子与信息学报, 2007, 29(10): 2363-2366. doi: 10.3724/SP.J.1146.2006.00444
Zhou Mei, Zhang Zhi-min, Deng Yun-kai . Wavelet-based Magnitude and Phase Compression of SAR Raw Data[J]. Journal of Electronics & Information Technology, 2007, 29(10): 2363-2366. doi: 10.3724/SP.J.1146.2006.00444
Citation: Zhou Mei, Zhang Zhi-min, Deng Yun-kai . Wavelet-based Magnitude and Phase Compression of SAR Raw Data[J]. Journal of Electronics & Information Technology, 2007, 29(10): 2363-2366. doi: 10.3724/SP.J.1146.2006.00444

基于小波的SAR原始数据幅相压缩算法

doi: 10.3724/SP.J.1146.2006.00444

Wavelet-based Magnitude and Phase Compression of SAR Raw Data

  • 摘要: 根据SAR原始数据幅值和相位统计独立的分布特点,该文在分析了SAR原始数据幅值的小波域系数特性后,研究了对SAR原始数据的幅值和相位分别进行量化的基于小波变换的幅相压缩算法。文中采用此算法对实际合成孔径雷达数据进行了压缩,结果表明,与传统的BAQ算法相比,该算法在很好保持数据的相位信息的同时,压缩效果有了明显的改善。
  • Kwork R and Joh adaptive quantization of Magellan SAR data. IEEE Trans[J].on Geoscience and Remote Sensing.1989, 27(4):375-383[2]Joo T H and Held D N. An adaptive quantization method for burst mode synthetic aperture radar data. IEEE International radar conference, Virginia, 1985: 385-390.[3]Lebedeff D, Mathieu P, Blaraud M, Lambert-Nebout C, and Bellemain P. Adaptive vector quantization for raw SAR data. Proc. Int. Conf. Acoustics, Speech, Signal Processing, Detroit, 1995: 2511-2514.[4]Moreira A and Blaser F. Fusion of block adaptive and vector quantizer for efficient SAR data compression. Proc. Int. Geosci. Remote. Sens. Symp., Tokyo, 1993: 1583-1585.[5]Benz U, Strodl K, and Moreira A. A comparison of several algorithms for SAR raw data compression[J].IEEE Trans. on Geoscience and Remote Sensing.1995, 33(5):1266-1276[6]Algra T. Data compression for operational SAR missions using entropy constrained block adaptive quantization. Proc. Int. Geosci. Remote. Sens. Symp., Toronto, 2002: 1135-1139.[7]Fischer J, Benz U, and Moreira A. Efficient SAR raw data compression in frequency domain. Proc. Int. Geosci. Remote. Sens. Symp., Hamburg, Germany, 1999, vol.4: 2261-2263.[8]Pascazio V and Schirinzi G. SAR phase history data compression by using wavelet packets. IGARSS 2000, Honolulu, 24-28 July 2000, vol.6: 2639-2641.[9]Kuduvali G, Dutkiewicz M, and Cumming I. Synthetic aperture radar signal data compression using block adaptive quantization. Proceedings of the Goddard Science Information Management and Data Compression Workshop, Maryland, 1994: 43-57.[10]朱永明, 朱兆达. 一种改进的UPQ算法在 SAR 原始数据压缩中的应用. 空载雷达, 2004,1: 25-29. Zhu Yong-ming and Zhu Zhao-da. An improved unrestricted polar quantization algorithm for SAR raw data compression. Airborne Radar, 2004,1: 25-29.[11]姚世超, 王岩飞, 张冰尘, 廖蜀燕. 合成孔径雷达原始数据幅相压缩算法[J].电子与信息学报.2002, 24(11):1627-1633浏览[12]张俊, 柳健, 张志勇. 一种用小波包进行 SAR 原始数据压缩的方法. 华中理工大学学报, 1997, 25(12): 17-19. Zhang Jun, Liu Jian, and Zhang Zhi-yong. A new algorithm for SAR raw data compression based on wavelet packet. J. Huazhong Univ. of Sci. and Tech., 1997, 25(12): 17-19.[13]Mallat S A. A theory for multiresolution signal Decomposition. IEEE Trans. on PAMI, 1989, 11(7): 675-693.
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出版历程
  • 收稿日期:  2006-04-07
  • 修回日期:  2006-09-18
  • 刊出日期:  2007-10-19

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