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An Automatic Determination for Planar Target Points via C-Means Approach in the Terrestrial Laser Scanning Data

机译:在地面激光扫描数据中通过C-Means方法自动确定平面目标点

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摘要

Laser scanners have been used in distinct disciplines and different approaches, especially industrial planning, and all three-dimensional (3-D) modelling studies. It acquires 3-D coordinate (x-, y-, z-coordinates) point clouds from the object surface. This scanning process has been automatically done of more than thousand points in a second; moreover, if the scanner has a camera, each point will have colour data as well. In this study, the fuzzy logic approach has been used for the automatic determination of the centre coordinates for data registration points in the terrestrial laser scanning data. The approach model has been selected as a fuzzy C-means (FCM) algorithm, which is frequently used as a clustering and training method from the point of fuzzy logic. This method has been programmed within the Matlab software and the original registration points of target data have been tested. In the end, application results have been shown and compared with the results of conventional method.
机译:激光扫描仪已被用于不同的学科和不同的方法,特别是工业规划,以及所有三维(3-D)建模研究。它从物体表面获取3-D坐标(x-,y-,z坐标)点云。这种扫描过程在一秒钟内自动完成超过千点;此外,如果扫描仪具有相机,则每个点也都有颜色数据。在该研究中,模糊逻辑方法已经用于自动确定地面激光扫描数据中的数据登记点的中心坐标。该方法模型被选为模糊C-Means(FCM)算法,其经常被用作模糊逻辑点的聚类和培训方法。此方法已在MATLAB软件内编程,并测试了目标数据的原始注册点。最终,已显示应用结果和与常规方法的结果进行比较。

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