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

机译:基于相位相关算法的内陆河岸线识别算法

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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:准确检测水面边界是无人水面航行器自主航行的重要条件,但水反射的存在成为检测过程中的困难之一。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岸线的位置,在约束条件下通过特征提取来提高相位配准的精度,并通过仿射来确定海岸线的倾角。变换特征角度。该算法可以克服海岸线检测过程中水反射的影响。

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