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Registration of images from a hull mounted, low frequency synthetic aperture sonar

机译:记录来自船体安装的低频合成孔径声纳的图像

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Coherent change detection between multiple synthetic aperture sonar (SAS) images is reliant on the images being co-registered with sub-pixel accuracy. In this paper we suggest a technique using available navigation data to reconstruct the images onto a common grid. Data obtained using the MUD SAS system is used to demonstrate this method. We show that even with high quality navigation data there is still a misregistration which causes a loss of coherence. Additional data-driven alignment is required in order to use the images for coherent change detection.
机译:多个合成孔径声纳(SAS)图像之间的相干变化检测依赖于以亚像素精度共配准的图像。在本文中,我们提出了一种使用可用导航数据将图像重建到公共网格上的技术。使用MUD SAS系统获得的数据用于演示此方法。我们显示,即使使用高质量的导航数据,仍然存在配准错误,这会导致失去连贯性。为了将图像用于相干变化检测,需要进行其他数据驱动的对齐。

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