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Inverse problems arising in different synthetic aperture radar imaging systems and a general Bayesian approach for them

机译：不同合成孔径雷达成像系统中出现的逆问题及其通用贝叶斯方法

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摘要

Synthetic Aperture Radar (SAR) imaging systems are nowadays very common technics of imaging in remote sensing and environment survey. There are different acquisition modes: spotlight, stripmap, scan; different geometries: mono-, bi- and multi-static; and varieties of specific applications: interferometric SAR (InSAR). polarimetric SAR etc. In this paper, first a common inverse problem framework for all of them is given, and then basics of SAR imaging and the classical deterministic inversion methods are presented. Aiming at overcoming the inadequacies of deterministic methods, a general probabilistic Bayesian estimation method is pioneered for solving image reconstruction problems. In particular, two priors which simply allow the automated determination of the hyperparameters in a Type-Ⅱ likelihood framework are considered. Finally, the performances of the proposed methods on synthetic data.
机译：合成孔径雷达（SAR）成像系统是当今在遥感和环境调查中非常普遍的成像技术。采集模式有多种：聚光灯，条形图，扫描，不同的几何形状：单静态，双静态和多静态；以及各种特定应用：干涉SAR（InSAR）。本文首先给出了所有SAR的通用反问题框架，然后介绍了SAR成像的基础知识和经典的确定性反演方法。为了克服确定性方法的不足，提出了一种通用的概率贝叶斯估计方法来解决图像重建问题。特别地，考虑了两个先验，它们简单地允许自动确定Ⅱ型可能性框架中的超参数。最后，提出的方法在综合数据上的性能。

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  • 来源
    《Computational imaging IX》|2011年|p.787306.1-787306.14|共14页
  • 会议地点 San Francisco CA(US)
  • 作者

    Sha Zhu; Ali Mohammad-Djafari; Xiang Li; Junjie Mao;

  • 作者单位

    Laboratoire des Signaux et Systemes, UMR8506 CNRS-SUPELEC-Univ.Paris-Sud XI,Supelec, Plateau de Moulon, 3 rue Juliot-Curie, 91192 Gif-sur-Yvette, France Research Institute of Space Information Technology, School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, Hunan, P.R.China;

    Laboratoire des Signaux et Systemes, UMR8506 CNRS-SUPELEC-Univ.Paris-Sud XI,Supelec, Plateau de Moulon, 3 rue Juliot-Curie, 91192 Gif-sur-Yvette, France;

    Research Institute of Space Information Technology, School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, Hunan, P.R.China;

    Research Center of Microwave Technology, School of Electronic Science and Engineering,National University of Defense Technology, Changsha 410073, Hunan, P.R.China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 信息处理（信息加工）;
  • 关键词

    Inverse problem; Synthetic Aperture Radar; Bayesian inference; sparse reconstruction; hyperpa-rameter estimation;

    机译：反问题；合成孔径雷达；贝叶斯推理；稀疏重建超参数估计;

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