全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
-  2017 

SAR原始数据压缩的自适应比特分配BAQ算法
An improved block adaptive quantization algorithm based on adaptive bit-allocation for SAR raw data compression

DOI: 10.7523/j.issn.2095-6134.2017.01.014

Keywords: 分块自适应量化,数据压缩,比特分配,合成孔径雷达
block-adaptive quantization
,data compression,bit allocation,synthetic aperture radar

Full-Text   Cite this paper   Add to My Lib

Abstract:

摘要 针对SAR原始数据压缩,在传统BAQ算法基础上,提出一种分块量化比特率可变的BAQ算法,在保持各分块平均比特率固定的前提下,针对不同的数据分块自适应选择量化比特率。与已有的改进型BAQ算法相比,比特率选择机制基于分块数据的信号功率大小,不需要成像区域的先验知识。新方法能够明显提高数据量化信噪比并降低SAR复图像相位误差,而运算复杂度增加很小,并可以实现分数比特率,适应于不同通信带宽的数据传输需要,增加了SAR原始数据实时传输的灵活性。

References

[1]  <p> Koren Y, Yavneh I, Spira A. A multigrid approach to the scalar quantization problem[J]. IEEE Trans on Geosci and Remote Sensing, 2005, 51(8):2993-2998.
[2]  Magli E, Olmo G. Lossy predictive coding of SAR raw data[J]. IEEE Trans on Geosci and Remote Sensing, 2003, 41(5):977-987.
[3]  Ikuma T, Naraghi-Pour M, Lewis T. Predictive quantization of range-focused SAR raw data[J]. IEEE Trans on Geosci and Remote Sensing, 2012, 50(4):1340-1348.
[4]  Bhattacharya S, Blumensath T, Mulgrew B, et al. Fast encoding of synthetic aperture radar raw data using compressed sensing[C]//IEEE/SP Workshop on Statistical Signal Processing. Madison, US:WI, 2007:448-452.
[5]  Chen Y C, Zhang Q, Wang G Z, et al. A novel compressing method of airborne SAR raw data[C]//IEEE International Conference on Signal Processing, Communication & Computing. Kunming:IEEE, 2013:1-5.
[6]  Martone M, Brautigam B, Krieger G. Azimuth-switched quantization for SAR systems and performance analysis on TanDEM-X data[J]. IEEE Geosciences and Remote Sensing Letter, 2014, 11(1):181-185.
[7]  Benz U, Strodl K, Moreria A. A comparison of several algorithms for SAR raw data compression[J]. IEEE Trans on Geosci and Remote Sensing, 1994, 33(5):1266-1276.
[8]  Malz E, Scheiber R, Mittermayer J, et al. Sentinel-1 FDBAQ performance validation using TerraSAR-X data[C]//IEEE International Geoscience and Remote Sensing Symposium. Munich:IEEE, 2012:1629-1632.
[9]  祁海明,华斌,李信. 星载SAR原始数据普适性分块自适应矢量压缩算法[J]. 中国科学:信息科学, 2012, 42(2):206-217.
[10]  潘志刚,王岩飞. 一种基于小波变换的高倍数SAR原始数据压缩算法[J]. 电子与信息学报, 2006, 28(10):1798-1801.
[11]  Pascazio V, Schirinzi G. SAR raw data compression by subband coding[J]. IEEE Trans on Geosci and Remote Sensing, 2003, 41(5):964-976.
[12]  Elia C D', Poggi G, Verdoliva L. Compression of SAR raw data through range focusing and variable-rate trellis-coded quantization[J]. IEEE Trans on Image Processing, 2001, 10(9):1278-1287.
[13]  Owens J W, Marcellin M W, Hunt B R, et al. Compression of synthetic aperture radar video phase history data using trellis-coded quantization techniques[J]. IEEE Trans on Geosci and Remote Sensing, 1999, 37(2):1080-1085.
[14]  Algra T. Data compression for operational SAR missions using entropy-constrained block adaptive quantization[C]//IEEE International Geoscience & Remote Sensing Symposium. Toronto:IEEE, 2002:1135-1138.
[15]  Kwok R, Johnson W T K. Block adaptive quantization of Magellan SAR data[J]. IEEE Trans on Geosciences and Remote Sensing, 1989, 27(4):375-383.
[16]  Krieger G, Moreira A, Fiedler H, et al. TanDEM-X:a satellite formation for high-resolution SAR interferometry[J]. IEEE Trans on Geosciences and Remote Sensing, 2007, 45(11):3317-3341.
[17]  Mittermayer J, Younis M, Metzig R, et al. Terra SAR-X system performance characterization and verification[J]. IEEE Trans on Geosciences and Remote Sensing, 2010, 48(2):660-676.
[18]  Martone M, Brautigam B, Krieger G. Quantization effects in TanDEM-X Data[J]. IEEE Trans on Geosciences and Remote Sensing, 2015, 53(2):583-597.
[19]  Attema E, Cafforio C, Gottwald M, et al. Flexible dynamic block adaptive quantization for Sentinel-1 SAR missions[J]. IEEE Geosciences and Remote Sensing Letter, 2010,7(4):766-770.
[20]  Snoeij P, Attema E, Guarnieri A M, et al. FDBAQ:a novel encoding scheme for Sentinel-1[C]//IEEE International Geoscience and Remote Sensing Symposium. Cape Town:IEEE, 2009:44-47.
[21]  Guccione P, Cafforio C, Guarnieri A M. Optimal block quantization for SAR data[C]//IEEE Radar Conference. Arlington, Virginia:IEEE, 2010:348-353.
[22]  Guccione P, D'Aria D, Piantanida R. Sentinel-1 FDBAQ performances:the data compression and estimation tool[C]//Advances in Radar and Remote Sensing. Tyrrhenian:IEEE, 2012:18-25.
[23]  Guccione P, Guarnieri A M. A space adaptive quantizer for spaceborne SAR[J]. IEEE Trans on Geosciences and Remote Sensing, 2011, 49(10):3564-3573.</p>

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133