SAR images reconstruction via phase retrieval

Abstract

A new method to accurately reconstruct a Synthetic Aperture Radar complex image starting from phase errors affected raw received data is presented. It is based on a phase retrieval algorithm, and the unknown complex reflectivity is found by minimising a proper functional using die partial phase information carried out by the phase corrupted raw data as the initial guess of an iterative procedure. The method, which is capable of compensating for both 1-D and 2-D phase errors, has been validated on real

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基于相位检索的SAR图像重建

提出了一种从影响原始接收数据的相位误差出发精确重建合成孔径雷达复杂图像的新方法。它基于相位检索算法，并且通过使用由相位损坏的原始数据作为迭代过程的初始猜测进行的模部分相位信息最小化适当的函数来发现未知的复反射率。该方法能够补偿一维和二维相位误差，并在实际测量中得到了验证。

本文章由计算机程序翻译，如有差异，请以英文原文为准。