首页> 外文会议>Geoscience and Remote Sensing Symposium, 2008 IEEE International-IGARSS 2008 >Study on the Geometric Distortion Correction Algorithm for Circular-Scanning SAR Imaging
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Study on the Geometric Distortion Correction Algorithm for Circular-Scanning SAR Imaging

机译:圆扫描SAR成像的几何畸变校正算法研究

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The images generated by a circular-scanning synthetic aperture radar (SAR) can provide precise guiding information though image-matching post-processing, which necessitates their high precision in geometry. However, due to the irregular motion of the radar platform and the circular scanning antenna beam, the inevitable geometric distortion in the focused images is necessarily to be corrected. In this paper, a two-dimensional geometric distortion correction algorithm based on projection transformation between the scatterers and the images is presented, in condition of focusing the subimages using linear range-Doppler algorithm. The geometric distortion in any subimage obtained at any squint angle within 360 degrees can be effectively corrected. The point-target simulation results are provided to demonstrate the validity of the proposed method.
机译:圆形扫描合成孔径雷达(SAR)生成的图像可以通过图像匹配后处理来提供精确的引导信息,这需要它们的几何精度很高。然而,由于雷达平台的不规则运动和圆形扫描天线波束,聚焦图像中不可避免的几何畸变必须加以校正。提出了一种基于线性距离多普勒算法对子图像进行聚焦的,基于散射体和图像之间投影变换的二维几何畸变校正算法。可以有效地校正在360度以内的任何斜视角度获得的任何子图像中的几何变形。提供的点目标仿真结果证明了该方法的有效性。

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