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基于熵函数的点云变形可靠性评价指标确定

Determination of Reliability Evaluation Indicators of Point Cloud Deformation Extraction Based on Entropy
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摘要 本文对三维激光扫描测距、测角及配准误差进行分析,利用信息熵的定义给出误差熵模型,并根据误差熵和误差极值的关系,确定变形提取可靠性评价指标。最终通过边坡变化状况进行分析,确定该方法的有效性。 In this paper, the range, angle and registration error are analyzed. The error entropy model was constructed according to the concept of information entropy. The reliability index of deformation extraction was determined according to the relationship between error entropy and error limit. Eventually, the effectiveness of the method was validated according to the simulating and real landslide.
作者 陈西江 章涛 花向红 吴浩 余科根 安庆 CHEN Xijiang1,2,3, ZHANG Tao1, HUA Xianghong4, WU Hao1, YU Kegen4, AN Qing5(1 School of Resource and Environment Engineering, Wuhan University of Technology, 120 Luoshi Road, Wuhan 430079, China;2 Postdoctors Innovation and Practice Base of Wuhaa Geomatics Institute, 209 Wansongyuan Road, Wuhan 430022, China; 3 Key Laboratory for Digital Land and Resources of Jiangxi Province, East China University of Technology, 418 Guanglan Road, Nanchang 330013, China;4 School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan 430079, China; 5 Wuhan Optics Valley Beidou Holding Group Co Lid,130 Guangguqi Road, Wuhan 430206, Chin)
出处 《大地测量与地球动力学》 CSCD 北大核心 2018年第4期402-406,共5页 Journal of Geodesy and Geodynamics
基金 国家自然科学基金(41501502) 江西省数字国土重点实验室开放基金(DLLJ201601) 武汉市测绘研究院博士后创新实践基地项目(WGF2016002)~~
关键词 变形可靠性评价指标 误差熵 TLS 滑坡 reliability index of deformation extraction error entropy TLS landslide
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