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高分辨率SAR的迅速发展为自动目标识别提供了可能 ,为了克服存储海量模板带来的计算复杂性 ,发展基于模型的目标识别现已成为新的国际研究热点。先由目标的真实三维模型依据电磁波散射理论计算雷达散射截面 (RCS) ,利用宽带合成孔径技术得出目标散射特性的空间分辨率图像 ,进而基于模拟图像实现目标的CFAR检测。最后利用我国机载高分辨率SAR图像对该方法进行实验 ,验证了本文提出的基于雷达散射特性目标识别的有效性
The rapid development of high-resolution SAR provides the possibility of automatic target recognition. In order to overcome the computational complexity caused by the storage of massive templates, the development of model-based target recognition has become a new international research hotspot. The RCS (Radar Scattering Section) is first calculated from the real three-dimensional model of the target according to the theory of electromagnetic wave scattering. The spatial resolution image of the target scattering characteristic is obtained by using the broadband synthetic aperture technique, and the target CFAR detection is performed based on the simulated image. Finally, this method is experimentally tested on airborne high resolution SAR images in China, which verifies the effectiveness of the proposed target recognition based on radar scatter characteristics