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Volume 30 Issue 11
Jan.  2011
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Qi Hai-Ming, Yu Wei-Dong. Study of Effect of Raw Data Compression on Space-borne InSAR Interferometry Based on Real Data[J]. Journal of Electronics & Information Technology, 2008, 30(11): 2693-2697. doi: 10.3724/SP.J.1146.2007.00808
Citation: Qi Hai-Ming, Yu Wei-Dong. Study of Effect of Raw Data Compression on Space-borne InSAR Interferometry Based on Real Data[J]. Journal of Electronics & Information Technology, 2008, 30(11): 2693-2697. doi: 10.3724/SP.J.1146.2007.00808

Study of Effect of Raw Data Compression on Space-borne InSAR Interferometry Based on Real Data

doi: 10.3724/SP.J.1146.2007.00808 cstr: 32379.14.SP.J.1146.2007.00808
  • Received Date: 2007-05-28
  • Rev Recd Date: 2007-10-08
  • Publish Date: 2008-11-19
  • In order to study the effect of raw data compression on space-borne InSAR interferometry. This paper utilizes 4 typical ERS-1/2 raw data of different altitude to evaluate Block Adaptive Quantization (BAQ) and Amplitude-Phase (AP) algorithm. The numerical experiments results show that when BAQ is used, the block size should be chosen carefully. At the same time, 4 bit/sample is the least bit rate for precise SAR interferometry when the vertical baseline is short. When AP algorithm is used, the quantization bits should be distributed suitably. When the average bit rate is 3 bit/sample, the best choice of AP is 2 bits for amplitude quantization and 4 bits for phase quantization which performance is between 3 bit BAQ and 4 bit BAQ.
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  • [1] Kwok R and Johnson W T K. Block adaptive quantization ofMagellan SAR data[J].IEEE Trans. on Geosciences RemoteSensing.1989, 27(4):375-383 [2] 姚世超, 王岩飞等. 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 [3] 潘志刚. 低比特率合成孔径雷达数据压缩算法研究. [博士论文]. 北京: 中科院电子学所, 2006. [4] Jordan R L and Huneycutt B L. The SIR-C/X-SARSynthetic Aperture Radar system[J].IEEE Trans. onGeosciences Remote Sensing.1995, 33(4):829-839 [5] Boustani A E, and Branham K, et al.. A review of current rawSAR data compression. Canadian Conference on Electricaland Computer Engineering, Toronto, Ont., Canada, May2001: 925-930. [6] Benz U, Strodl K, and Moreria A. A comparison of severalalgorithms for SAR raw data compression. IEEE Trans.Geosciences Remote Sensing, 1994, 33(5): 1266-1276. [7] 关振红, 朱兆达. 使用矢量量化技术压缩SAR原始数据. 南京理工大学学报, 2006, 30(2): 157-161.Guan Zhen-hong and Zhu Zhao-da. SAR raw datacompression using vector quantization techniques. Journal ofNanjing University of Science and Technology, 2006, 30(2):157-161. [8] 关振红, 朱兆达等. 块自适应球形矢量量化算法压缩SAR原始数据. 航空学报, 2005, 27(1): 82-86.Guan Zhen-hong and Zhu Zhao-da, et al.. Compression ofSAR raw data by block adaptive spherical vectorquantization, ACTA Aeronautica et Astronautica Sinica, 2005,27(1): 82-86. [9] 关振红, 朱岱寅等. 归一化自适应预测矢量量化算法压缩SAR原始数据[J].电子与信息学报.2006, 28(3):507-511浏览 [10] Fischer J.[J].and Benz U, et al.. Efficient SAR raw datacompression in frequency domain. In proceedings IGARSS99Hamburg Germany.1999,:- [11] 杨云志, 黄顺吉等. SAR原始数据的频域量化编码方法研究.系统工程与电子技术, 2005, 27(12): 2107-2111.Yang Yun-zhi and Huang Shun-ji, et al.. Frequency regionquantization coding method researching of SAR raw data.Systems Engineering Electronics, 2005, 27(12): 2107- 2111. [12] Mcleod I and Cumming I. ENVISAT ASAR data reduction:Impact on SAR interferometry[J].IEEE Trans. on GeosciencesRemote Sensing.1998, 36(2):589-602 [13] 舒宁. 雷达影像干涉测量原理. 武汉: 武汉大学出版社, 2003,第2章. [14] Abdelfattah R and Nicolas J M. Topographic SARinterferometry for high-precision DEM generation[J].IEEETrans. on Geosciences and Remote Sensing.2002, 40(11):2415-2426 [15] 王超, 张红等. 星载合成孔径雷达干涉测量. 北京: 科学出版社, 2002, 第1-3章.
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