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机译:利用联合稀疏度的经典散射特征极化物镜SAR成像方法
University of Electronic Science and Technology of China, People's Republic of China;
University of Electronic Science and Technology of China, People's Republic of China;
Nanjing University of Posts and Telecommunications, People's Republic of China;
The Second Research Institute of CAAC, People's Republic of China;
The Second Research Institute of CAAC, People's Republic of China;
University of Electronic Science and Technology of China, People's Republic of China;
approximation theory; electromagnetic wave scattering; frequency-domain analysis; radar imaging; synthetic aperture radar;
机译:具有典型散射特征和消除亚基间干扰的物镜SAR成像方法
机译:联合时频分析和极化相干分解的雷达成像散射特征
机译:联合稀疏和局部相似性开发的压缩SAR成像
机译:基于散射机制和Wishart分类器的混合极化SAR图像非监督分类方法
机译:高阶稀疏性开发方法及其在成像和PDE中的应用。
机译:联合稀疏和局部相似性开发的压缩SAR成像
机译:具有联合稀疏性和局部相似性开发的压缩saR成像