A parameter inversion for sea bridge based on high-resolution polarimetric synthetic aperture radar

LIU Genwang ZHANG Jie ZHANG Xi MENG Junmin WANG Guoyu

刘根旺, 张杰, 张晰, 孟俊敏, 王国宇. 高分辨率全极化SAR水上桥梁参数反演[J]. 海洋学报英文版, 2016, 35(7): 68-75. doi: 10.1007/s13131-016-0912-z
引用本文: 刘根旺, 张杰, 张晰, 孟俊敏, 王国宇. 高分辨率全极化SAR水上桥梁参数反演[J]. 海洋学报英文版, 2016, 35(7): 68-75. doi: 10.1007/s13131-016-0912-z
LIU Genwang, ZHANG Jie, ZHANG Xi, MENG Junmin, WANG Guoyu. A parameter inversion for sea bridge based on high-resolution polarimetric synthetic aperture radar[J]. Acta Oceanologica Sinica, 2016, 35(7): 68-75. doi: 10.1007/s13131-016-0912-z
Citation: LIU Genwang, ZHANG Jie, ZHANG Xi, MENG Junmin, WANG Guoyu. A parameter inversion for sea bridge based on high-resolution polarimetric synthetic aperture radar[J]. Acta Oceanologica Sinica, 2016, 35(7): 68-75. doi: 10.1007/s13131-016-0912-z

高分辨率全极化SAR水上桥梁参数反演

doi: 10.1007/s13131-016-0912-z
基金项目: The Public Science and Technology Research Funds Projects of Ocean under contract No. 201505002.

A parameter inversion for sea bridge based on high-resolution polarimetric synthetic aperture radar

  • 摘要: 高分辨率SAR中,桥梁的各次反射回波表现为条带状,这给桥梁参数的反演带来了困难。本文提出了一种适用于高分辨率全极化SAR的水上桥梁参数反演方法。首先,通过极化散射特征区分出桥梁的单次、二次和三次反射回波目标。然后,结合微波反射和折射的原理,分析了高分辨SAR图像中桥梁的各次反射回波成条带状的原因,在此基础上提出了各次回波目标的提取方法和桥梁参数反演方法。最后,利用获取的AIRSAR数据反演了桥梁的上下桥高、桥厚、桥宽、桥长及桥塔高度等参数,通过与实测数据对比,结果表明,本文的方法能较准确地反演桥梁的各项参数,其中桥高误差仅为1.3%,结果也表明了在高分辨率条件下,C和L波段的桥梁参数反演能力相当。
  • Cadario E, Gross H, Hammer H, et al. 2008. Change detection for bridges over water in airborne and spaceborne sar data. In:Proceedings of the International Geoscience and Remote Sens-ing Symposium, IGARSS. Boston, MA, USA:IEEE, 479-482
    Cameron W L, Leung L K. 1990. Feature motivated polarization scat-tering matrix decomposition. In:Proceedings of Record of the IEEE 1990 International Radar Conference. Arlington, VA, USA:IEEE, 549-557
    Chaudhuri D, Samal A. 2008. An automatic bridge detection tech-nique for multispectral images. IEEE Transactions on Geoscience and Remote Sensing, 46(9):2720-2727
    Cloude S R, Pottier E. 1996. A review of target decomposition theor-ems in radar polarimetry. IEEE Transactions on Geoscience and Remote Sensing, 34(2):498-518
    Lee J S, Krogager E, Ainsworth T L, et al. 2006. Polarimetric analysis of radar signature of a manmade structure. IEEE Geoscience and Remote Sensing Letters, 3(4):555-559
    Lee J S, Pottier E. 2009. Polarimetric Radar Imaging:From Basics to Applications. Boca Raton:CRC Press
    Lüneburg E. 1995. Principles of radar polarimetry. Proceedings of the IEICE Transactions on the Electronics Theory, 78(10):1339-1345
    Robalo J, Lichtenegger J. 1999. ERS-SAR images a bridge. Earth Ob-servation Quarterly, ESA Technical Report, 7-10
    Schulz K, Cadario E, Gross H, et al. 2007. Detection and feature ex-traction of bridges in airborne and spaceborne SAR image data. In:Proceedings of SPIE 6749, Remote Sensing for Environment-al Monitoring, GIS Applications, and Geology VⅡ, 67490U. Florence, Italy:SPIE
    Soergel U, Thiele A, Cadario E, et al. 2007. Fusion of high-resolution inSAR data and optical imagery in scenes with bridges over wa-ter for 3D visualization and interpretation. In:Proceedings of Urban Remote Sensing Joint Event 2007. Paris:JURSE
    Sousa J J, Bastos L. 2013. Multi-temporal SAR interferometry reveals acceleration of bridge sinking before collapse. Natural Hazards and Earth System Sciences, 13(3):659-667
    Wang Wenguang, Sun Jinping, Hu Rui, et al. 2009. Knowledge-based bridge detection from SAR images. Journal of Systems Engin-eering and Electronics, 20(5):929-936
    Wang Haipeng, Xu Feng, Jin Yaqiu. 2009. Estimation of the bridge height over water using SAR image data. Journal of Remote Sensing, 13(3):385-390
    Wang Ying, Zheng Qinfen. 1998. Recognition of roads and bridges in SAR images. Pattern Recognition, 31(7):953-962
    Wegner J D, Soergel U. 2008. Bridge height estimation from com-bined high-resolution optical and SAR imagery. The Interna-tional Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37(B7):1071-1076
    Wu Wenyu, Yin Dong, Zhang Rong, et al. 2009. Bridge recognition of median-resolution SAR images using pun histogram entropy. Chinese Optics Letters, 7(7):572-575
    Zhang Shaoming, He Xiangchen, Zhang Xiaohu, et al. 2011. Auto-in-terpretation for Bridges over Water in High-resolution Space-borne SAR Imagery. Journal of Electronics & Information Tech-nology (in Chinese), 33(7):1706-1712
    Zhao Weizhou, Song Jianshe, Zhang Jie. 2006. Study on the detection algorithm of bridge over water in sAR image based on fuzzy theory. In:Proceedings of the 1st International Conference on Innovative Computing, Information and Control, 2006. Beijing:IEEE, 641-644
    Zhu Shanjiang, Levinson D, Liu H X, et al. 2008. The traffic and beha-vioral effects of the I-35W Mississippi River bridge collapse. Transportation Research:Part A. Policy and Practice, 44(10):771-784
  • 加载中
计量
  • 文章访问数:  1076
  • HTML全文浏览量:  48
  • PDF下载量:  563
  • 被引次数: 0
出版历程
  • 收稿日期:  2015-06-23
  • 修回日期:  2015-10-12

目录

    /

    返回文章
    返回