然而,由于SAR三维实测数据稀缺,三维成像网络的训练只能依赖于仿真数据进行,并且仿真数据与实测数据存在差异大的问题,导致基于深度学习方法的SAR三维成像精度受限.为此,本文提出了一种基于奇异值分解的信号空间归一化超分辨网络(SVD Signal-Space Normalization SuperResolution Net,SVD-SRNet),能够解决由于仿真数据与实测数据...
Three dimensional(3-D)Synthetic Aperture Radar(SAR)imaging is an important development of traditional two dimensional(2-D)SAR imaging in the field of radar precision information acquisition and perception, which can distinguish multiple targets overlapping in the same pixel of 2-D SAR imag...