期刊文献+

基于散射分量系数的极化SAR数据分类

AN IMPROVED POLSAR IMAGE CLASSIFICATION METHOD BASED ON COEFFICIENTS OF SCATTERING COMPONENTS
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摘要 分析了传统的基于散射功率大小的极化SAR数据分类算法,提出了一种基于散射分量系数的改进算法,实现了全极化SAR数据的有效性分类。 We analyzed traditional polarization SAR classification method based on scattered power(derived according to target decomposition) and proposed an improved classification algorithm based on coefficients of scattering components.AIRSAR and PiSAR full polarimetric SAR data are used as experimental data.The results verify the effectiveness of the improved method.
出处 《测绘信息与工程》 2010年第3期23-25,共3页 Journal of Geomatics
基金 国家863计划资助项目(2006AA12Z132)
关键词 目标分解 极化SAR分类 散射功率 散射系数 target decomposition polarimetric SAR classification scattered power coefficients of scattering components
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参考文献6

  • 1Cloude S R, Pottier E. A Review of Target Decomposition Theorems in Radar Polarimetry[J]. IEEE Trans Geosci and Remote Sens, 1996,34(2): 498-518. 被引量:1
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二级参考文献7

  • 1Lemoine G G, De Grandi G F, Sieber A J. Polarimetric Contrast Classification of Agricultural Fields Using MAESTRO1 AIRSAR Data[J]. Int J Remote Sensing, 1994,15(14) :2 851-2 869 被引量:1
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  • 7Yoshio Yamaguchi, Toshifumi Moriyama, Motoi Ishido, et al. Four-Component Scattering Model for Polarimetric SAR Image Decomposition[J].IEEE Trans Geosci Remote Sensing, 2005, 43(8) : 1 699- 1 706 被引量:1

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