合成孔径雷达高清矢量成像

Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136) Pub Date : 1997-11-02 DOI:10.1109/ACSSC.1997.679095

G. Benitz

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引用次数: 58

摘要

高清晰度矢量成像(HDVI)是一种数据自适应的合成孔径雷达(SAR)图像重建方法，其基础是最初为无源传感器阵列开发的超分辨率技术。目标是生成更多信息，更高分辨率的图像，以改善UHF和毫米波SAR的目标识别。这里介绍的算法包括基于MLM (Capon)算法的二维最小方差技术和二维版本的MUSIC算法。通过仿真对两种技术进行了比较。结果提出了宽带轨道SAR测量树叶反射器，显示分辨率提高和杂波抑制。此外，对机载毫米波SAR数据的处理结果表明，分辨率和散斑都得到了提高。简要讨论了“矢量”方面，即结合非点状散射模型来表征散射机制。

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High-definition vector imaging for synthetic aperture radar

High-definition vector imaging (HDVI) is a data-adaptive approach to synthetic aperture radar (SAR) image reconstruction based on superresolution techniques originally developed for passive sensor arrays. The goal is to produce more informative, higher resolution imagery for improving target recognition with UHF and millimeter-wave SAR. Algorithms presented here include 2-D minimum-variance techniques based on the MLM (Capon) algorithm and a 2-D version of the MUSIC algorithm. A comparison of techniques via simulation is provided. Results are presented for wideband rail SAR measurements of reflectors in foliage, demonstrating resolution improvement and clutter rejection. Also, results of processing data from an airborne millimeter-wave SAR demonstrate improved resolution and speckle reduction. The "Vector" aspect, i.e., the incorporation of non-pointlike scattering models to enable characterization of scattering mechanisms, is briefly discussed.

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Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136)

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