Volume 4 Issue 1
Apr.  2015
Turn off MathJax
Article Contents
Zhang Yue-ting, Qiu Xiao-lan, Ding Chi-biao, Lei Bin, Fu Kun. The Simulation and Characteristics Analysis on High Resolution SAR Images of Bridges[J]. Journal of Radars, 2015, 4(1): 78-83. doi: 10.12000/JR14139
Citation: Zhang Yue-ting, Qiu Xiao-lan, Ding Chi-biao, Lei Bin, Fu Kun. The Simulation and Characteristics Analysis on High Resolution SAR Images of Bridges[J]. Journal of Radars, 2015, 4(1): 78-83. doi: 10.12000/JR14139

The Simulation and Characteristics Analysis on High Resolution SAR Images of Bridges

doi: 10.12000/JR14139
  • Received Date: 2014-11-20
  • Rev Recd Date: 2015-03-11
  • Publish Date: 2015-02-28
  • An approach for simulation and analysis on the high resolution Synthetic Aperture Radar (SAR) images is provided and bridges are chosen for analysis. According to the principle of SAR, the Geometry Optics (GO) is employed to calculate the direct scatterings and multi-path scatterings of the bridge in this approach. In this study, the Sydney Bridge is chosen for analysis, and the Terra-SAR data with 1 m resolution is used. The results show that, the main properties of the bridge with the simulation and the real data are consistent, which tests the validity of the approach. Furthermore, according to the simulation process, the main scattering characteristics of the SAR image of the Sydney Bridge are interpreted. The experiments show that this approach can provide the main scattering characteristics of the target, and also show that it can be helpful for SAR images interpretations.

     

  • loading
  • [1]
    Werninghaus R and Buckreuss S. The TerraSAR-X mission and system design[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(2): 606-614.
    [2]
    Suess H and Buckreuss S. The dual-use potential of the TerraSAR-X Mission[J]. SPIE, 2009, 7308: 1-8.
    [3]
    Pitz W and Miller D. The TerraSAR-X satellite[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(2): 615-622.
    [4]
    Oliver C and Queagan S. Understanding Synthetic Aperture Radar Images[M]. Boston USA, SciTech Publishing Inc, 2004, Chapter 1.
    [5]
    Zhang Yue-ting and Ding Chi-biao. Special phenomena of the shadow region in the high resolution synthetic aperture radar image due to synthetic aperture[J]. Journal of Infrared, Millimeter, and Terahertz Waves, 2012, 33(10): 1052-1070.
    [6]
    Franceschetti G, Guida R, Iodice A, et al.. Building feature extraction via a deterministic approach: application to real high resolution SAR images[C]. IEEE International Geoscience and Remote Sensing Symposium, Barcelona, Spain, 2007: 2681-2684.
    [7]
    Chen Hong-zhen, Zhang Yue-ting, Wang Hong-qi, et al.. SAR imaging simulation for urban structures based on analytical models[J]. IEEE Geoscience and Remote Sensing Letters, 2012, 9(6): 1127-1131.
    [8]
    Guida R, Iodice A, and Riccio D. Assessment of TerraSAR-X products with a new feature extraction application: monitoring of cylindrical tanks[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(2): 930-938.
    [9]
    Soegel B U, Thiele A, Gorss H, et al.. Extraction of bridge features from high-resolution InSAR data and optical images[C]. Urban Remote Sensing Joint Event, Paris, 2007, 10.1109/ URS.2007.371882.
    [10]
    Wang Gui-ting, Huang Shan, and Jiao Li-cheng. An automatic bridge detection technique for high resolution SAR images[C]. Asian Pacific Conference on Synthetic Aperture Radar, Xian, China, 2009: 498-501.
    [11]
    Cumming I G and Wong F H. Digital Processing of Synthetic Aperture Radar Data: Algorithms and Implementation[M]. London: Artech House, 2005, Chapter 5.
    [12]
    Auer S, Hinz S, and Bamler R. Ray-tracing simulation techniques for understanding high-resolution SAR images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(3): 1445-1456.
  • 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
    Article views(2964) PDF downloads(1709) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint