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

M. W. Castelloe, D. Munson
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引用次数: 10

Abstract

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.
基于高分辨率光谱估计方法的三维SAR成像:XPATCH实验
我们利用先前开发的基于高分辨率光谱估计的方法,从有限合成孔径雷达(SAR)数据中探索三维图像重建。现有的三维合成孔径雷达成像技术,如立体和干涉测量,目前的困难可能会被这种方法克服。我们使用XPATCH生成军用坦克和飞机的模拟SAR数据,然后使用传统的傅里叶反演和高分辨率光谱估计显示图像重建。后一种方法被认为能提供更好的图像。
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