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3-D SAR imaging via high-resolution spectral estimation methods: experiments with XPATCH

机译:通过高分辨率光谱估计方法进行3D SAR成像:使用XPATCH进行实验

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We explore 3-D image reconstruction from limited synthetic aperture radar (SAR) data, using a previously developed approach, based on high-resolution spectral estimation. Existing 3-D SAR imaging techniques, such as stereo and interferometry, present difficulties that may be overcome by this method. We use XPATCH to generate simulated SAR data of a military tank and an aircraft, and we then show image reconstructions using both conventional Fourier inversion and high-resolution spectral estimation. The latter approach is seen to provide superior imagery.
机译:我们使用高分辨率的光谱估计,使用以前开发的方法,从有限的合成孔径雷达(SAR)数据中探索3D图像重建。现有的3D SAR成像技术(例如,立体和干涉测量法)提出了可以通过此方法克服的困难。我们使用XPATCH生成军用坦克和飞机的模拟SAR数据,然后显示使用常规傅立叶反演和高分辨率光谱估计的图像重建。可以看到后一种方法可以提供出色的图像。

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