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An Algorithm for Identification of Inland River Shorelines based on Phase Correlation Algorithm

机译:一种基于相位相关算法的内陆河流堆积识别算法

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Accurate detection of water surface boundary is an important condition for autonomous navigation of unmanned surface vehicle(USV), but the existence of water reflection becomes one of those difficulties during the detection. In order to solve this problem, this paper proposes to use the phase correlation algorithm to determine the location of shorelines in inland river, the precision of phase registration is improved by feature extraction under constraint conditions, and the inclination angle of shoreline is determined by affine transform angle of feature. The algorithm could overcomes the influence of water reflection during the detection of shorelines.
机译:精确地检测水面边界是无人面表面车辆(USV)的自主导航的重要条件,但在检测期间,水反射的存在成为这些困难之一。为了解决这个问题,本文提出使用相位相关算法来确定内陆河流内海岸线的位置,通过约束条件下的特征提取来改善相位登记的精度,并且通过仿射确定海岸线的倾斜角度变换角度。该算法可能克服了在海岸线检测期间的水反射的影响。

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