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Focus of attention in UWB SAR image

机译:UWB SAR图像中的关注焦点

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Abstract: The previous work demonstrate that detection based on the Laguerre transform exploits the 1D resonance response of the metallic target in the ultra wideband (UWB) synthetic aperture radar (SAR) images. The success is mainly due to the fact that Laguerre function space captures the information contained in the resonant response. However, in that case, only 1D resonance response information were utilized. In this paper, a new CFAR statistics based on spatial resonance templates is proposed. Based on the GLRT, the new CFAR statistics is formulated using the spatial extent of targets' resonance responses in the UWB SAR scenario. In the end, we show that the proposed CFAR statistics yields more robust detection.!7
机译:摘要:先前的工作表明,基于Laguerre变换的检测利用了超宽带(UWB)合成孔径雷达(SAR)图像中金属目标的一维共振响应。成功的主要原因是Laguerre函数空间捕获了共振响应中包含的信息。然而,在那种情况下,仅利用一维共振响应信息。本文提出了一种基于空间共振模板的新型CFAR统计方法。基于GLRT,使用超宽带SAR场景中目标共振响应的空间范围来制定新的CFAR统计数据。最后,我们证明了所提出的CFAR统计数据可产生更可靠的检测结果!7

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