FU Haiqiang, WANG Changcheng, ZHU Jianjun, XIE Qinghua, ZHAO Rong. A Polarimetric Classification Method Based on Neumann Decomposition[J]. Geomatics and Information Science of Wuhan University, 2015, 40(5): 607-611. DOI: 10.13203/j.whugis20130372
Citation: FU Haiqiang, WANG Changcheng, ZHU Jianjun, XIE Qinghua, ZHAO Rong. A Polarimetric Classification Method Based on Neumann Decomposition[J]. Geomatics and Information Science of Wuhan University, 2015, 40(5): 607-611. DOI: 10.13203/j.whugis20130372

A Polarimetric Classification Method Based on Neumann Decomposition

Funds: The National Natural Science Foundation of China,Nos.41371335,41274010;the National 973Program of China,
More Information
  • Author Bio:

    FU Haiqiang: 国家自然科学基金资助项目(41371335,41274010);国家973计划资助项目(2013CB733303);湖南省自然科学基金资助项目(12JJ4035);测绘遥感信息工程国家重点实验室开放基金资助项目(11R03);中南大学中央高校基本科研业务费专项资金资助项目(2013zzts055)

  • Corresponding author:

    WANG Changcheng,PhD,associate professor.

  • Received Date: July 30, 2013
  • Revised Date: May 04, 2015
  • Published Date: May 04, 2015
  • Apolarimetric SAR classification method is proposed in this paper.We can distinguish themorphology characteristic and do initial classification using anisotropy and orientation randomness.After that,Wishart distance is used to iteratively classify.E-SAR L band,SIR-C/X-SAR L band andSIR-C/X-SAR C band polarimetric data of Oberpfaffenhofen,Germany are employed to test the newmethod.The results demonstrate that the result of new method is better than the results of Freeman-Duren and Yamaguchi for vegetation area.
  • [1]
    Wang Y T,Ainsworth T L,Lee J S.Estimation ofThe Orientation and Shape Parameters of CanopyScatterers from POLSAR Observations[J].IEEEJournal of Selected Topics in Applied Earth Ob-servations and Remote Sensing,2012,5(3):835-846[2] Neumann M,Ferro-Famil L,Reigber A.Estima-tion ofForest Structure,Ground,and Canopy LayerCharacteristics from Mutibaseline Polarimetric In-terfero-metric SAR Data[J].IEEE Transactionson Geoscience and Remote Sensing,2010,48(3):1 086-1 103[3] Trueuhaft R N,Siqueira P R.Vertical Structure ofVegetatedland Surfaces from Interferometric andPolarimetric Radar[J].Radio Science,2000,351 :141-177[4] Freeman A,Durden S L.A Three-component Scat-tering Model for Polarimetric SAR Data[J].IEEETransactions on Geoscience and Remote Sensing,1998,36(3):963-973[5] Yamaguchi Y,Moriyama T,Ishido M,et al.Four-component Scattering Model for Polarimetric SARImage Decomposition[J].IEEE Transactions onGeoscience and Remote Sensing,2005,43(8):1 699-1 706[6] Lee J S,Ainsworth T L.TheEffect of OrientationAngle Compensation on Coherency Matrix and Po-larimetric Target Decomposition[J].IEEE Trans-actions on Geoscience and Remote Sensing,2011,91 :53-64 第40卷第5期付海强等:Neumann分解理论在极化SAR植被分类中的应用611[7] Lee J S,Grunes M R,Pottier E,et al.Unsuper-vised Terrain Classification Preserving PolarimetricScattering Characteristics[J].IEEE Transactionson Geoscience and Remote Sensing,2004,42(4):722-731[8] Cloude S R,Pottier E.AReview of Target Decom-position Theorems in Radar Polarimetry Data[J].IEEE Transactions on Geoscience and Remote Sens-ing,1996,34(2):498-518[9] Zhao Lingli,Yang Jie,Li Pingxiang,et al.Statisti-cal Classification of Weak Backscattering Scatterersof PolSAR Image[J].Journal of Remote Sensing,2013,17(2):306-319(赵伶俐,杨杰,李平湘等.极化SAR影像弱散射地物统计分类[J].遥感学报.2013,17(2):306-319)[10] Zou Tongyuan,Yang Wen,Dai Dengxin,et al.AnUnsupervised Classification Method of POLSARImage[J].Geomatics and Information Science ofWuhan University,2009,34(8):910-913(邹同元,杨文,代登信,等.一种新的极化SAR图像非监督分类算法研究[J].武汉大学学报·信息科学版,2009,34(8):910-913)[11] Yang Jie,Zhao Lingli,Li Pingxiang,et al.Preser-ving Polarimetric Scattering Characteristics Classifi-cation by introducing Normalized Circular-pol Cor-relation coefficient[J].Geomatics and InformationScience of Wuhan University,2012,37(8):911-914(杨杰,赵伶俐,李平湘,等.引入规范化圆极化相关系数的保持极化散射特性的分类算法.武汉大学学报·信息科学版,2012,37(8):911-914)[12] Papathanassiou K P,Cloude S R.Single-BaselinePolarimetric SAR Interferometry[J].IEEE Trans-actions on Geoscienceand Remote Sensing,2001,39(11):2 352-2 362
  • Related Articles

    [1]SHEN Peng, WANG Changcheng, LIAO Mingsheng, ZHANG Lu, DONG Jie, DAI Keren. Research Progress of Phase Linking Method in Time-Series InSAR[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20250004
    [2]MA Yueyuan, YANG Yuanxi, ZENG Anmin, XU Yangyin. Bayesian Estimation Model for Seafloor Geodetic Positioning Based on Prior Information of Offset Parameters[J]. Geomatics and Information Science of Wuhan University, 2023, 48(9): 1465-1472. DOI: 10.13203/j.whugis20200662
    [3]LI Linyang, LV Zhiping, CUI Yang, WANG Yupu, LV Hao, GONG Xiaochun. Robust Parallel Bayes Estimation for Large-scale GNSS Baseline Vector Network[J]. Geomatics and Information Science of Wuhan University, 2016, 41(10): 1385-1390. DOI: 10.13203/j.whugis20140763
    [4]YU Wangsheng, TIAN Xiaohua, HOU Zhiqiang, CHEN Xiaoping. Robust Visual Tracking Based on OLDM and Bayesian Estimation[J]. Geomatics and Information Science of Wuhan University, 2015, 40(11): 1539-1544. DOI: 10.13203/j.whugis20130535
    [5]ZHENG Zhaobao. Texture Recognition Method Based on Bayesian Linear Programming[J]. Geomatics and Information Science of Wuhan University, 2007, 32(3): 193-196.
    [6]ZHENG Zhaobao, PAN Li, YU Xin. Bayesian Networks for Producing Texture "Tuned" Masks[J]. Geomatics and Information Science of Wuhan University, 2006, 31(4): 304-307.
    [7]WANG Qing, XU Xin, GUAN Bao, SUN Hong. An Algorithm for SAR Image Filtering Based on Bayesian Principle and MRF Modeling[J]. Geomatics and Information Science of Wuhan University, 2005, 30(5): 464-467.
    [8]HUANG Jiejun, WAN Youchuan, PAN Heping. Bayesian Network Structure Learning and Its Applications[J]. Geomatics and Information Science of Wuhan University, 2004, 29(4): 315-318.
    [9]XU Caijun, LI Zhicai. Cyclic-Bayesian Searching Method and Its Application to Geodetic Inversion[J]. Geomatics and Information Science of Wuhan University, 2003, 28(6): 658-662.
    [10]Wang Xinzhiou. Bayesian Sequential Adjustment[J]. Geomatics and Information Science of Wuhan University, 1994, 19(4): 315-321.

Catalog

    Article views (3972) PDF downloads (779) Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return