同济大学学报（自然科学版）2011，Vol.39Issue(9)：1345-1349,5.DOI:10.3969/j.issn.0253-374x.2011.09.017
4分量模型和散射参数的全极化雷达图像分类
Full Polarimetric SAR Classification Based on Four-component Decomposition Model and Scattering Parameters
摘要
Abstract
Based on the analysis of typical polarized target decomposition and classification, the paper proposes a new scheme for iterative classification of polarimetric SAR image, which blends the outcomes of Yamaguchi decomposition and H/a decomposition. This technique extracts four decomposition coefficients of four scattering mechanism components through Yamaguchi decomposition, the scattering entropy and angle through H/a decomposition first) then the initial classification of the PQLSAR images is done by the combination of the 6 parameters mentioned above. The final result is obtained by iterative classification due to coherence scattering matrix following wishart distribution. The classification performance improved, better effectiveness and less amount of computation is demonstrated by the experimental results of polarimetric SAR data.关键词
极化合成孔径雷达/图像分类/Yamaguchi分解/散射熵/散射角Key words
polarized synthetic aperture radar/imaging classification/Yamaguchi decomposition/scattering entropy/scattering angle分类
天文与地球科学引用本文复制引用
邵永社,韩阳,吕倩利,杨书娟..4分量模型和散射参数的全极化雷达图像分类[J].同济大学学报（自然科学版）,2011,39(9):1345-1349,5.基金项目
“十一五”国家科技支撑计划(2006BAJ09B01) （2006BAJ09B01）
