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Research of the matching between SLAR and SAR image based on vertical projection adjust

机译:基于垂直投影调整的闸门和SAR图像匹配研究

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The scene matching between side-looking real aperture radar (SLAR) image and synthetic aperture radar (SAR) image is influenced by the terrain height variance because radar imaging in the direction of slanting range. The match algorithm investigated on this paper between real aperture radar image and SAR is based on normalize cross correlation match. In this paper, through analysis the geometric model of side-looking real aperture radar imaging, we propose a method of vertical projection adjust the geometric distortion of side-looking real aperture radar image, and discuss the relation between match performance and the height difference in reference region, which is useful for the evaluation of radar image matching reliability. The simulation experiments of real aperture radar imaging at different altitude proves that the matching precision and robust are improved distinctly after the vertical projection adjustment of the real aperture radar image geometric distortion.
机译:侧视实孔径雷达(刹车)图像和合成孔径雷达(SAR)图像之间的场景受到地形高度方差的影响,因为沿倾斜范围的方向上的雷达成像。在真正的孔径雷达图像和SAR之间研究了在本文中研究的匹配算法基于归一化交叉相关匹配。在本文中,通过分析侧视实孔径雷达成像的几何模型,我们提出了一种垂直投影的方法调节侧视实孔径雷达图像的几何失真,并讨论匹配性能与高度差之间的关系参考区域,可用于评估雷达图像匹配可靠性。在不同高度的实际孔径雷达成像的仿真实验证明,在真实孔径雷达图像几何失真的垂直投影调整之后明显地改善了匹配精度和稳健。

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