进而将两种SVD算法应用在特征子空间雷达目标一维距离像识别法中，使用实测数据对其进行速度验证和性能评估。
Then, the performance of two SVD algorithms and feature subspace radar target recognition algorithm based on SVD are evaluated according to real data of planes.
基于对HRRP空间雷达自动目标识别中冗余噪声匹配的分析，研究了高分辨距离像的特征选择方法，提出了一种基于目标子空间的雷达自动目标识别方法。
This thesis studies the feature selection method of HRRP and proposes a RATR method in target subspace based on the analysis of noise-match in HRRP space.
上面两幅图是欧洲空间组织环境卫星的先进合成孔径雷达(ASAR)于2011年3月11日和16日拍摄的照片。
The images above were acquired by the Advanced Synthetic Aperture Radar (ASAR) on the European Space Agency's Envisat satellite on March 11 and 16, 2011.
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