Compression of SAR Raw Data with Normalized Adaptive Predictive Vector Quantization

Guan Zhen-hong; Zhu Dai-yin; Zhu Zhao-da

Volume 28 Issue 3

Sep. 2010

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Article Navigation > Journal of Electronics & Information Technology > 2006 > 28(3): 507-511

Guan Zhen-hong, Zhu Dai-yin, Zhu Zhao-da. Compression of SAR Raw Data with Normalized Adaptive Predictive Vector Quantization[J]. Journal of Electronics & Information Technology, 2006, 28(3): 507-511.

Citation:

Guan Zhen-hong, Zhu Dai-yin, Zhu Zhao-da. Compression of SAR Raw Data with Normalized Adaptive Predictive Vector Quantization[J]. Journal of Electronics & Information Technology, 2006, 28(3): 507-511.

Citation:

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Compression of SAR Raw Data with Normalized Adaptive Predictive Vector Quantization

Received Date: 2005-01-06
Rev Recd Date: 2005-11-03
Publish Date: 2006-03-19

Abstract

Abstract

This paper presents a new SAR raw data compression algorithm named Normalized Adaptive Predictive Vector Quantization (NAPVQ). The normalized SAR raw data are firstly processed with vector linear predictor, and then the error vectors are compressed with vector quantizer. Regarded as an extension of the differential pulse code modulation in the vector quantization, the NAPVQ achieves a better performance gain than the Block Adaptive Vector Quantization (BAVQ) and the Normalized Predictive Adaptive Quantization (NPAQ). With the analyses of algorithm complexity, the proposed algorithm shows a good performance/complexity trade-off and accommodates the requirement in engineering applications.

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References(1)

References

Kwok R. Adaptive quantization of Magellan SAR data, IEEE Trans[J].on Geoscience and Remote Sensing.1989, 27(4):375-[2]Enrico M, Olmo G Lossy predictive coding of SAR raw data. IEEE Trans[J].on Geoscience and Remote Sensing.2003, 41(3):977-[3]Moreira A , Blaeser F. Fusion of block adaptive and vector quantization for efficient SAR data compression. IGARSS, Tokyo, 1993: 1583 - 1585.[4]杨云志, 黄顺吉, 王建国. 矢量量化在SAR原始数据压缩中应用. 系统工程与电子技术, 2002, 24(6): 42-44.[5]Owens J W, Marcellin M W, Hunt B R. Compression of synthetic aperture radar video phase history data using trellis-coded quantization techniques[J].IEEE Trans. on Geoscience and Remote Sensing.1999,37(2):1080-[6]Benz U, Strodl K, Moreia A. A comparison of several algorithms for SAR raw data compression[J].IEEE Trans. on Geoscience and Remote Sensing.1995,33(5):1266-[7][71 Pascazio V, Schirinzi G SAR raw data compression by subband coding. IEEE Trans. on Geoscience and Remote Sensing, 2003, 4l(2): 964 - 976.[8]孙圣和, 陆哲明. 矢量量化技术及应用. 北京: 科学出版社, 2002: 116-136.[9][91 Jayant N S, Noll P. Digital Coding of Waveforms, NJ: Prentice-Hall, 1984,40 - 90.[10]Linde Y, Buzo A, Gray R. An algorithm for vector quantization design[J].IEEE Trans. on Communications.1980,28(1):84-[11]巍钟铨. 合成孔径雷达卫星. 北京: 科学出版社, 2001: 202-210.

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