激光与光电子学进展, 2019, 56 (16): 162802, 网络出版: 2019-08-05   

形态学滤波关键参数阈值的等值线确定方法 下载: 885次

Contour Determination Method for Threshold of Morphological Filtering Key Parameters
作者单位
长沙理工大学交通运输工程学院测绘工程系, 湖南 长沙 410004
摘要
形态学滤波算法的提出,在很大程度上提高了雷达点云的滤波效果。准确高效地分离地面点和地物点,是滤波算法的关键,其中滤波阈值的确定更是学者研究的重点。等值线是空间分析中重要的研究内容。基于渐进形态学滤波算法,利用等值线生成法快速实现了对滤波算法关键阈值的获取。相较于传统人工确定阈值的方式,等值线确定阈值的方法比较直观,可以快速确定合适的阈值。为了检验等值线-形态学滤波算法的效率和精度,将其与渐进型三角网滤波算法进行对比,并通过实验证实本文算法的优势。
Abstract
The proposed morphological filtering algorithm improves the filtering effect of the radar point cloud greatly. Separation accurate and efficient for the ground points and non-ground points has always been the key problem to the filtering algorithm. Many scholars focus on the determination of the filtering threshold. The contour is an important research content in spatial analysis. Based on the progressive morphology filtering algorithm, the contour is used to obtain the key threshold of the filtering algorithm quickly. Comparing with the traditional manual testing threshold, the contour threshold determination method is more intuitive, and the appropriate threshold can be determined relatively quickly. In order to test the filtering efficiency and accuracy of the contour-morphological filtering algorithm, this paper uses the progressive triangulation filtering algorithm for comparing purpose, and the advantages of the proposed algorithm have been proved.

邢承滨, 邓兴升, 徐康. 形态学滤波关键参数阈值的等值线确定方法[J]. 激光与光电子学进展, 2019, 56(16): 162802. Chengbin Xing, Xingsheng Deng, Kang Xu. Contour Determination Method for Threshold of Morphological Filtering Key Parameters[J]. Laser & Optoelectronics Progress, 2019, 56(16): 162802.

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