Volume 4 Issue 6
Dec.  2015
Turn off MathJax
Article Contents
Article Navigation >  Journal of Radars  > 2015  >  4(6): 708-714
Guo Xiao-yang, Li Yang, Lin Yun, Guo Sheng-long, Hong Wen. Statistical Models of Speckle for Circular SAR Imaging[J]. Journal of Radars, 2015, 4(6): 708-714. doi: 10.12000/JR15039
Citation: Guo Xiao-yang, Li Yang, Lin Yun, Guo Sheng-long, Hong Wen. Statistical Models of Speckle for Circular SAR Imaging[J]. Journal of Radars, 2015, 4(6): 708-714. doi: 10.12000/JR15039
shu

Statistical Models of Speckle for Circular SAR Imaging

DOI: 10.12000/JR15039
  • 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)

  • Received Date: 2015-04-03
  • Rev Recd Date: 2015-06-08
  • Publish Date: 2015-12-28
    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.

     

    • FullText(HTML)
  • loading
    • References(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.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML
    Article views(2550) PDF downloads(1475) Cited by()
    Proportional views
    Related

    京ICP备20021838号-8   Supported by: Beijing Renhe Information Technology Co. Ltd     百度统计

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return