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归一化法消除全极化SAR影像Freeman分解中的不一致 被引量：2

Inconsistency Elimination in Freeman Decomposition for Polarimetric SAR Data Based on Normalization Method
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摘要 分析了Freeman分解中的不一致性问题,提出了解决这种不一致性的归一化消除方法,并使用德国普拉特灵地区的全极化星载TerraSAR-X数据进行了验证。实验结果表明,Freeman分解中存在分解不一致的现象,本文提出的归一化方法能够完全去除Freeman分解的不一致性,即负功率现象。 A normalization method is proposed to eliminate inconsistency in Freeman decomposition for polarimetric SAR data. Firstly, The Freeman decomposition is derived straightforwardly based on covariance matrix. Then, the cause of inconsistency is deduced in detail. Finally, the results are validated by X band quad polarimetric TerraSAR-X data in Platting, showing that the inconsistency of surface scattering and volume scattering in urban and water areas is very serious. After using the normalization method, the negative power is eliminated in all areas completely.
作者 刘修国 黄晓东 陈启浩 姜萍
机构地区 中国地质大学(武汉)信息工程学院 中国地质大学教育部地理信息系统软件及其应用工程研究中心
出处 《武汉大学学报（信息科学版）》 EI CSCD 北大核心 2013年第3期257-261,共5页 Geomatics and Information Science of Wuhan University
基金 武汉市学科带头人计划资助项目(201271130443) 国家教育部地理信息系统软件及其应用工程研究中心开放课题研究资助项目(20111107)
关键词 Freeman分解 不一致性 全极化SAR 归一化法 Freeman decomposition inconsistency polarimetric SAR normalization method
分类号 P237.3 [天文地球—摄影测量与遥感]
  • 相关文献

参考文献12

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  • 2李廷伟,黄海风,梁甸农,朱炬波.基于Freeman分解的植被参数反演新方法[J].电子与信息学报,2011,33(4):781-786. 被引量：6
  • 3张斌,马国锐,刘国英,秦前清.一种结合Freeman分解和散射熵的MRF多极化SAR影像分割算法[J].武汉大学学报（信息科学版）,2011,36(9):1064-1067. 被引量：2
  • 4张斌,杨然,谢兴,秦前清.利用极化目标分解和WMRF的全极化SAR图像分类方法[J].武汉大学学报（信息科学版）,2011,36(3):297-300. 被引量：7
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二级参考文献27

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共引文献12

同被引文献26

  • 1吴永辉,计科峰,郁文贤.利用SVM的全极化、双极化与单极化SAR图像分类性能的比较[J].遥感学报,2008,12(1):46-53. 被引量：16
  • 2张海龙,蒋建军,吴宏安,解修平.SAR与TM影像融合及在BP神经网络分类中的应用[J].测绘学报,2006,35(3):229-233. 被引量：23
  • 3韩美,张晓惠,刘丽云.黄河三角洲湿地研究进展[J].生态环境,2006,15(4):872-875. 被引量：34
  • 4Freeman A, Durden S L. A Three-component Scat- tering Model for Polarimetric SAR [J]. IEEE Transactions on Geoscience and Remote Sensing, 1998, 36(3) :963-973.
  • 5Yamaguehi Y, Moriyama T, Ishido M, et al. Four- component Scaltering Model for Polarimetric SAR Image Decomposition[J]. IEEE Traasactions on Geoscience and Remote Sensing, 2005, 43 (8): 1 699- 1 706.
  • 6BallesterBermanJ D, Lopez Sanehez J M. Apply- ing the Freeman-Durden Decomposition Concepl 1o Polarimetric SAR Interferometry[J]. IEEE Trans -actions on Geoscience and Remote Sensing, 2010,48(1) : 466-479.
  • 7An Wentao, Xie Chunhua, Yuan Xinzhe, et al. Four component Decomposition of Polarimetric SAR Images with Deorientation[J]. IEEE Geoscience and Remote Sensing Letters, 2011, 8(6) : 1 090-1 094.
  • 8Yamaguchi Y, Sato A , Boerner W M,et al. Four- component Scattering Power Decomposition with Rotation of Coherence Matrix[J]. IEEE Transac- tions on Geoscience and Remote Sensing, 2011, 49 (6) :2 251-2 258.
  • 9Sato A, Yamaguchi Y, Singh G, et al. Four-compo- nent Scattering Power Decomposition with Extended Volume Scattering Model [J ]. IEEE Geoscience and Remote Sensing Letters, 2012, 9(2) : 166-170.
  • 10An Wentao, Cui Yi, Yang Jian. Three-component model-based Decomposition for Polarimetric SAR Data[J]. IEEE Transactions on Geoscience and Re- mote Sensing, 2010, 48(6):2 732-2 739.

引证文献2

二级引证文献16

武汉大学学报（信息科学版）
2013年 第3期

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