基于CSAR成像的相干斑统计模型研究

郭小洋; 李洋; 林赟; 郭胜龙; 洪文

doi:10.12000/JR15039

基于CSAR成像的相干斑统计模型研究

doi: 10.12000/JR15039

1.
(中国科学院电子学研究所北京 100190)
2.
(微波成像技术重点实验室北京 100190)
3.
(中国科学院大学北京 100049)

基金项目:

国家自然科学基金(61431018)资助课题

详细信息

作者简介:
郭小洋(1991-),女,中科院电子所硕士研究生,研究方向为极化SAR统计建模、极化SAR图像处理;李洋(1983-),男,工程师,中科院电子所博士研究生,研究方向为极化SAR定标、混合极化SAR;林赟(1983-),女,中科院电子所助理研究员,研究方向为雷达信号处理理论与成像算法;郭胜龙(1987-),男,中科院电子所博士研究生,研究方向为极化SAR/简缩极化SAR理论研究与应用;洪文(1968-),女,研究员,博士生导师,研究方向为雷达信号处理理论、SAR成像算法、微波遥感图像处理及其应用等。

通讯作者:
郭小洋,guoxiaoyang0925@163.com

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- 被引次数: 0
出版历程
- 收稿日期: 2015-04-03
- 修回日期: 2015-06-08
- 网络出版日期: 2015-12-28

Statistical Models of Speckle for Circular SAR Imaging

1.
(The Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China)
2.
(Science and Technology on Microwave Imaging Laboratory, Beijing 100190, China)
3.
(University of Chinese Academy of Sciences, Beijing 100049, China)

Funds:

The National Natural Science Foundation of China (61431018)

摘要

摘要: 圆迹SAR是近些年发展的一种全方位高分辨率新型雷达成像模式。通过一次圆形航迹获得的360多角度图像能够解决传统SAR无法获取全方位数据的问题,在目标识别、区域检测和3D重建等应用上提供了更为有效的技术途径。该文通过传统SAR图像的统计模型,在假设每个子孔径影像均匀区域独立且服从伽马分布条件下分别建立圆迹SAR中相干累加、非相干累加和取子孔径最大强度值法这3种图像合成方法的统计模型,分析3种方法对图像相干斑的影响,分析结果表明非相干累加具有最好的降斑效果,取最大强度值也能在一定程度上降低相干斑。
- 圆迹合成孔径雷达(CSAR) /
- 相干斑 /
- 统计模型 /
- 伽马分布
Abstract: Circular Synthetic Aperture Radar (CSAR) is a recently developed all-directional high-resolution imaging mode, which is efficient in dealing with the target recognition, area monitoring, and three-dimensional reconstruction because of the acquisition of 360 data in a single pass. To obtain the entire 360 image using information from all subapertures, the following methods are used: (1) the coherent addition method, (2) the incoherent addition method, and (3) the maximum-intensity methods. In this study, different statistical models of speckle in CSAR images are proposed and the speckle reduction of each model is discussed. Experiments show that the incoherent addition and maximum-intensity methods reduce speckle, whereas the coherent addition method does not.
- Circular Synthetic Aperture Radar (CSAR) /
- Speckle /
- Statistical model /
- Gamma distribution

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参考文献(18)

[1]	Soumekh M. Reconnaissance with slant plane circular SAR imaging[J]. IEEE Transactions on Image Processing, 1996, 5(8): 1252-1265.
[2]	洪文. 圆迹SAR成像技术研究进展[J]. 雷达学报, 2012, 1(2): 124-135. Hong Wen. Progress in Circular SAR imaging technique[J]. Journal of Radars, 2012, 1(2): 124-135.
[3]	张祥坤. 高分辨率圆迹合成孔径雷达成像机理及方法研究[D]. [博士论文], 北京: 中国科学院研究生院, 2007: 65-70. Zhang Xiang-kun. High-resolution Circular Synthetic Aperture Radar[D]. [Ph.D. dissertation], Beijing: University of Chinese Academy of Sciences, 2007: 65-70.
[4]	Lin Y, Hong W, Tan W X, et al.. Airborne Circular SAR imaging: results at P-band[C]. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany, 2012: 5594-5597.
[5]	Pinheiro M. Processing, radiometric correction, autofocus and polarimetric classification of Circular SAR data[D]. [Ph.D. dissertation], the Department of Graduate Studies of the Aeronautics Institute of Technology, 2010: 38-50.
[6]	Guo Z Y, Lin Y, Tan W X, et al.. Circular SAR motion compensation using trilateration and phase correction[C]. Proceedings of the IET International Radar Conference, Xian, 2013: 1-5.
[7]	Lee J S and Pottier E. Polarimetric Radar Imaging: From Basics to Applications[M]. Boca Raton FL: CRC Press, 2009: 101-111.
[8]	Li H C, H W, Wu Y R, et al.. An efficient and flexible statistical model based on generalized Gamma distribution for amplitude SAR images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(6): 2711-2722.
[9]	Gao G, Shi G T, Kuang G Y, et al.. Statistical Modeling of SAR Images: Models and Applications[M]. Beijing: National Defense Industry Press, 2013: 1-5.
[10]	Goodman J W. Statistical Properties of Laser Speckle Patterns[M]. Berlin: Springer-Verlag, 1975: 9-75.
[11]	Ward K D. Compound representation of high resolution sea clutter[J]. Electronics Letters, 1981, 17(16): 561-563.
[12]	Chan T K, Kuga Y, and Ishimaru A. Experimental studies on Circular SAR imaging in clutter using angular correlation function technique[J]. IEEE Transactions on Geoscience and Remote Sensing, 1999, 37(5): 2192-2197.
[13]	Oliver C and Quegan S. Understanding Synthetic Aperture Radar Images[M]. SciTech Publishing, 2004: 59-66.
[14]	高贵. SAR 图像统计建模研究综述[J]. 信号处理, 2009(8): 1270-1278. Gao Gui. Review on the statistical modeling of SAR images[J]. Signal Processing, 2009(8): 1270-1278.
[15]	Foucher S, Boucher J M, and Bnie G B. Maximum likelihood estimation of the number of looks in SAR images[C]. 13th International Conference on Microwaves, Radar and Wireless Communications, Wroclaw, Poland, 2000, 2: 657-660.
[16]	Anfinsen S N, Doulgeris A P, and Eltoft T. Estimation of the equivalent number of looks in polarimetric synthetic aperture radar imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2009, 47(11): 3795-3809.
[17]	Stephens M A. EDF statistics for goodness of fit and some comparisons[J]. Journal of the American Statistical Association, 1974, 69(347): 730-737.
[18]	Press W H, Teukolsky S A, Vetterling W T, et al.. Numerical Recipes in C[M]. Cambridge: Cambridge University Press, 1996: 623-626.