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A noise removal algorithm for LIDAR intensity image based on orientation gradient and weighted threshold

机译:基于方向梯度和加权阈值的LIDAR强度图像的噪声去除算法

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In this paper, an algorithm of LIDAR intensity image noise removal based on orientation gradient and weighted threshold is proposed on the analysis of LIDAR imaging mechanism. It detects and removes the noise in LIDAR intensity image based on the orientation gradient of the ground got from LIDAR distance information, during which weighted threshold is adopted to calculate the threshold automatically. Experiments prove that this filter can detect and remove the noise effectively and preserve the edge information of Intensity Image better.
机译:本文提出了一种基于定向梯度和加权阈值的激光雷达强度图像噪声去除算法,提出了激光雷达成像机构的分析。 它根据LIDAR距离信息的定向梯度来检测和去除LIDAR强度图像中的噪声,在此期间采用加权阈值自动计算阈值。 实验证明,该过滤器可以有效地检测和去除噪声并更好地保持强度图像的边缘信息。

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