Extracting of six Deformation Parameters Using Improved ICP Matching Based on Terrestrial Laser Scanning Data

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• 作者：Xijiang Chen ; Guang Zhang ; Xianghong Hua…
• 关键词：Deformation ; Six parameters ; Point cloud ; TLS ; ICP
• 刊名：Journal of the Indian Society of Remote Sensing
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：45
• 期：1
• 页码：123-130
• 全文大小：
• 刊物类别：Earth and Environmental Science
• 刊物主题：Earth Sciences, general; Remote Sensing/Photogrammetry;
• 出版者：Springer India
• ISSN：0974-3006
• 卷排序：45

文摘

Extraction of the magnitude and direction of deformation is an important issue. Deformation is typically extracted by comparing data related to a finite number of control point. However, such a method can only extract the magnitude of deformation, but not the direction of deformation. In this paper, the improved ICP model is exploited for extracting the deformation. The main idea of this method is the construction of improved ICP and the determination of the relationship between extraction of six deformation parameters and local matching. This proposed deformation extraction method is particularly suited for scenarios where the deformation area is 3D rigid-body. The performance of the proposed method is extensively evaluated numerically and experimentally according to the 3D rigid-body board deformation. It is important to note that the conclusions were achieved under non-ideal conditions, e.g. using non-calibrated TLS point cloud and non-special targets. Besides the simulation experiment, the validation results achieved on bridge test site are briefly discussed.