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Shape Similarity Measure Method Based on Principal Curvature Enhancement Distance Transformation

机译:基于主曲率增强距离变换的形状相似性度量方法

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摘要

The conventional shape similarity measurements of remote sensing data face problems in the situation of noise interference, partial information occlusion and missing. A method of shape similarity measurement based on principal curvature enhancement distance transformation is proposed. The distance transformation is carried out to extend the range of the shape contour, improving the robustness of the similarity measure. Besides, to ensure the accuracy of measurement results, the distance map is enhanced by the principal curvature of the shape contour, improving the response of contours with rich information. Application experiments of road vectors with GPS data and optical remote sensing images show that the method is effective in practical application.
机译:遥感数据的常规形状相似性测量在噪声干扰,部分信息遮挡和丢失的情况下面临问题。提出了一种基于主曲率增强距离变换的形状相似度测量方法。进行距离变换以扩展形状轮廓的范围,提高相似性度量的鲁棒性。此外,为保证测量结果的准确性,通过轮廓轮廓的主曲率来增强距离图,从而改善了轮廓信息的响应性。具有GPS数据和光学遥感图像的道路矢量的应用实验表明,该方法在实际应用中是有效的。

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