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作 者:张云鹏 Zhang Yunpeng(China Railway Liuyuan Group Co.,Ltd.,Survey Institute,Tianjin 300308,China)
出 处:《矿山测量》2019年第5期62-66,85,共6页Mine Surveying
摘 要:文中为了从散乱点云数据中提取直线特征,将Hough变换算法引入到三维激光扫描点云数据处理中,并针对其在点云数据处理中的局限进行改进,提出一种改进的Hough变化算法,并选取一组扫描数据进行试验,该算法能够准确的提取出直线特征,证明了该算法的可行性。In order to extract line feature from unorganized point cloud, introducing Hough transform algorithm into 3D laser scanning point cloud data processing and improving the limitations of the algorithm, and an improved Hough transforming algorithm was proposed. A set of scanning data was selected to test the new algorithm, and the algorithm could accurately extract the line feature from the point cloud. The result verified the validity of the algorithm in this paper.
分 类 号:P258[天文地球—测绘科学与技术]
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