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A Maximum Entropy Image Reconstruction Algorithm for 2-D Synthetic Aperture Radiometers

机译:用于2-D合成孔径辐射仪的最大熵图像重构算法

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This paper presents a maximum entropy image reconstruction algorithm for two-dimensional synthetic aperture radiometer. This algorithm does not involve any optimization method, and the image reconstruction problem is reduced to solving a system of differential equations with appropriate initial values. Our work is focused on the application and the adjustment of this algorithm to the Earth observation situation. Several numerical simulations have been performed to compare the proposed method to the traditional linear method. The reconstruction results show that the proposed algorithm can effectively increase resolution and fidelity for synthetic aperture radiometers.
机译:本文介绍了二维合成孔径辐射计的最大熵图像重建算法。该算法不涉及任何优化方法,并且减少图像重建问题以解决具有适当初始值的微分方程系统。我们的作品专注于应用和调整该算法在地球观测情况下。已经进行了几种数值模拟以将所提出的方法与传统的线性方法进行比较。重建结果表明,该算法可以有效地提高合成孔径辐射仪的分辨率和保真度。

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