机译:使用Wishart混合模型的极化SAR图像基于区域的变化检测
Electronic Information School, Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan, Wuhan, ChinaChina;
Electronic Information School, Wuhan University, Wuhan, China;
Electronic Information School, Wuhan University, Wuhan, China;
Electronic Information School, Wuhan University, Wuhan, China;
Collaborative Innovation Center of Geospatial Technology, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Wuhan, ChinaChina;
Computational modeling; Detection algorithms; Radar imaging; Radar polarimetry; Mixture models; Speckle;
机译:使用Wishart MRf的基于区域的极化SAR图像分类
机译:复杂Wishart分布中的检验统计量及其在极化SAR数据变化检测中的应用
机译:使用Wishart检验统计量和Wishart差异度量的极化SAR图像分类
机译:基于极化SAR图像的基于复杂Wishart分布模型的水质变化检测
机译:基于通用模型的极化SAR图像分解框架
机译:使用一般线性模型和时间序列Quad-Polarimetric SAR图像估算种植森林的生长茎体积
机译:利用复杂的Wishart分布矩阵改变极化saR图像的检测