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Side-scan sonar image registration based on modified phase correlation for AUV navigation

机译:基于修正相位相关的侧扫声纳图像配准用于AUV导航

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In this paper, we propose a novel approach for SSS registration based on modified phase correlation, which is capable of handling low resolution and noise. The modified phase correlation combines threshold segmentation with phase correlation to carry out side-scan sonar (SSS) image registration. Image registration aims to transform images obtained from different views to the same coordinate. Underwater environment has poor visibility and the registration for optical underwater images faces various challenges. The registration method for SSS image is different from that for optical image. Region-based registration is more robust than feature-based registration for side-scan image because there are featureless areas in underwater environment and region-based registration can handle this. When an autonomous underwater vehicle (AUV) equipped with the SSS is navigating an unknown underwater environment, the ability to realize the registration between the current sonar image and the previous ones accurately and fast does matter. When compared to a state-of-art region-based and feature-based technique, our approach shows superior performance in accuracy and time-consuming.
机译:在本文中,我们提出了一种基于修正相位相关的SSS配准的新方法,该方法能够处理低分辨率和低噪声。修改后的相位相关将阈值分割与相位相关相结合,以执行侧面扫描声纳(SSS)图像配准。图像配准旨在将从不同视图获得的图像转换为相同坐标。水下环境的能见度很差,水下光学图像的配准面临各种挑战。 SSS图像的配准方法与光学图像的配准方法不同。对于水下扫描,基于区域的配准比基于特征的配准更健壮,因为在水下环境中没有无特征的区域,基于区域的配准可以解决这一问题。当配备有SSS的自动水下航行器(AUV)在未知的水下环境中航行时,准确,快速地实现当前声纳图像与先前声纳图像之间的配准的能力确实很重要。与最先进的基于区域和基于特征的技术相比,我们的方法在准确性和耗时方面表现出卓越的性能。

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