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NONLINEAR TECHNIQUES IN OPTICAL SYNTHETIC APERTURE RADAR IMAGE GENERATION AND TARGET RECOGNITION

机译:光学合成孔径雷达图像生成和目标识别中的非线性技术

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One of the most successful optical signal-processing applications to date has been the use of optical processors to convert synthetic aperture radar (SAR) data into images of the radar reflectivity of the ground. We have demonstrated real-time input to a high-space-bandwidth optical SAR image-generation system by using a dynamic organic holographic recording medium and SAR phase-history data. Real-time speckle reduction in optically processed SAR imagery has been accomplished by the use of multilook averaging to achieve nonlinear modulus-squared accumulation of subaperture images. We designed and assembled an all-optical system that accomplished real-time target recognition in SAR imagery. This system employed a simple square-law nonlinearity in the form of an optically addressed spatial light modulator at the SAR image plane to remove the effects of speckle phase profiles returned from complex SAR targets. The detection stage enabled the creation of an optical SAR automatic target recognition system as a nonlinear cascade of an optical SAR image generator and an optical correlator. [References: 37]
机译:迄今为止,最成功的光信号处理应用程序之一是使用光处理器将合成孔径雷达(SAR)数据转换为地面雷达反射率的图像。我们已经演示了通过使用动态有机全息记录介质和SAR相历史数据将实时输入到高空间带宽光学SAR图像生成系统。光学处理的SAR图像中的实时斑点减少已通过使用多视场平均来实现,以实现子孔径图像的非线性模量平方累积。我们设计并组装了可在SAR图像中实现实时目标识别的全光学系统。该系统在SAR图像平面采用光学寻址空间光调制器形式的简单平方律非线性,以消除从复杂SAR目标返回的斑点相位轮廓的影响。在检测阶段,可以创建光学SAR自动目标识别系统,将其作为光学SAR图像生成器和光学相关器的非线性级联。 [参考:37]

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