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Use of curvilinear SAR for three-dimensional target feature extraction

机译:曲线SAR在三维目标特征提取中的应用。

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摘要

The use of curvilinear synthetic aperture radar (CLSAR) is considered for three-dimensional feature extraction of small targets consisting of a small number of distinct point scatterers. CLSAR does not suffer from the ambiguities suffered by interferometric SAR. As CLSAR is a relatively new technology, a self-contained detailed derivation of the data model is presented. The Cramer-Rao bounds of the parameter estimates are also derived. Use of the RELAX algorithm for 3-D target feature extraction with CLSAR for different curvilinear apertures is also described.
机译:考虑使用曲线合成孔径雷达(CLSAR)来对由少量不同点散射体组成的小目标进行三维特征提取。 CLSAR不会遭受干涉SAR的歧义。由于CLSAR是一项相对较新的技术,因此提出了数据模型的自包含详细推导。还推导了参数估计的Cramer-Rao边界。还介绍了使用RELAX算法通过CLSAR对不同的曲线孔径进行3-D目标特征提取。

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