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Spatial Resolution Improvement in GNSS-Based SAR Using Multistatic Acquisitions and Feature Extraction

机译:基于多静态采集和特征提取的基于GNSS的SAR空间分辨率提高

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This paper considers the exploitation of navigation satellite systems as opportunity transmitters for bistatic and multistatic synthetic aperture radar (SAR). The simultaneous availability of multiple satellites over a scene of interest at different viewing angles allows multistatic SAR acquisitions using a single receiver on or near the ground. The resulting spatial diversity could be used to drastically improve image resolution or to enhance image information space. To exploit the availability of multiple satellites, two data fusion approaches are here considered. In the former, point features of the single images obtained from different perspectives are extracted and then combined, whereas in the latter, a multistatic image is first obtained by combining the single channel data at the image level and then the point features are extracted. This is achieved by considering ad hoc CLEAN-like techniques. These techniques have been developed on both the analytical and simulation levels and experimentally verified with real GNSS-based SAR imagery. The techniques described here are not limited to GNSS-based SAR but may be applied to any multistatic SAR system.
机译:本文考虑将导航卫星系统作为机会发射器用于双基地和多基地合成孔径雷达(SAR)。在感兴趣的场景上以不同的视角同时提供多个卫星可以使用地面或地面附近的单个接收器进行多静态SAR采集。所得到的空间分集可用于大大提高图像分辨率或增强图像信息空间。为了利用多颗卫星的可用性,这里考虑了两种数据融合方法。在前者中,从不同角度获得的单个图像的点特征被提取然后组合,而在后者中,首先通过在图像级别上组合单通道数据来获得多静态图像,然后提取点特征。这是通过考虑类似于CLEAN的临时技术来实现的。这些技术已在分析和仿真两个层面上得到发展,并已通过基于GNSS的真实SAR图像进行了实验验证。此处描述的技术不仅限于基于GNSS的SAR,还可以应用于任何多静态SAR系统。

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