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GB/T 36100-2018 English PDF

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GB/T 36100-2018: Indices and computation method of quality assessment for airborne LiDAR point cloud data
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PDF similar to GB/T 36100-2018


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Basic data

Standard ID GB/T 36100-2018 (GB/T36100-2018)
Description (Translated English) Indices and computation method of quality assessment for airborne LiDAR point cloud data
Sector / Industry National Standard (Recommended)
Classification of Chinese Standard A77
Classification of International Standard 07.040
Word Count Estimation 14,191
Date of Issue 2018-03-15
Date of Implementation 2018-07-01
Issuing agency(ies) State Administration for Market Regulation, China National Standardization Administration

GB/T 36100-2018: Indices and computation method of quality assessment for airborne LiDAR point cloud data


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Indices and computation method of quality assessment for airborne LiDAR point cloud data ICS 07.040 A77 National Standards of People's Republic of China Airborne Laser Radar Point Cloud Data Quality Evaluation Index And calculation methods Pointclouddata Published by.2018-03-15 2018-07-01 Implementation General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China China National Standardization Administration released Directory Preface III 1 Scope 1 2 Normative references 1 3 Terms and Definitions 1 4 Airborne Laser Radar Point Cloud Data Quality Evaluation Index 2 5 Airborne Laser Radar Point Cloud Data Quality Evaluation Index Calculation Method 2 5.1 LiDAR point cloud density 2 5.2 LiDAR point cloud elevation accuracy 2 5.2.1 Maximum elevation error 2 5.2.2 Error in elevation 3 5.2.3 Error 3 in Relative Elevation 5.2.4 banding elevation error 3 5.3 LiDAR point cloud accuracy 4 5.3.1 Maximum planar position error 4 5.3.2 Error 4 in plane position 5.3.3 Error 5 in relative plane position 5.3.4 position error of the splicing plane of the flight strip 6 5.4 Lidar point cloud rate 6 5.5 LiDAR point cloud intensity quality 6 5.5.1 Intensity Information Entropy 6 5.5.2 Strength Signal to Noise Ratio 7 Reference 8

Foreword

This standard was drafted in accordance with the rules given in GB/T 1.1-2009. This standard was proposed by the Chinese Academy of Sciences. This standard is under the jurisdiction of the National Remote Sensing Standardization Technical Committee (SAC/TC327). This standard was drafted by. Institute of Optics, Chinese Academy of Sciences, China Academy of Surveying and Mapping, and University of Chinese Academy of Sciences. The main drafters of this standard. Li Chuanrong, Zhou Mei, Zhang Huijing, Li Jingmei, Hu Jian, Ma Lian, Li Wei, Wu Hao, Zhou Chuncheng, Chen Yuwei, Li Xiaohui, Liu Zhaoyan, Jia Yuanyuan, Wang Xinhong, Su Guozhong, Jiang Xiaoguang, Song Xianfeng, Song Xiaoning, Tang Jiakui, and Xiao Xiaoping. Airborne Laser Radar Point Cloud Data Quality Evaluation Index And calculation methods

1 Scope

This standard specifies the lidar point cloud density, elevation accuracy, plane accuracy, etc. used for airborne laser radar point cloud data quality evaluation. Standard and calculation methods. This standard is applicable to the quality evaluation of airborne single-echo and multi-echo laser radar point cloud data, and the quality evaluation of satellite-borne laser radar point cloud data. The price can refer to the implementation.

2 Normative references

The following documents are indispensable for the application of this document. For dated references, only dated versions apply to this article Pieces. For undated references, the latest version (including all amendments) applies to this document. CH/T 1021-2010 Technical Specifications for Quality Inspection of Height Control Measurement Results CH/T 1022-2010 Technical Specification for Quality Inspection of Plane Control Measurement Results

3 Terms and definitions

The following terms and definitions apply to this document. 3.1 Lidar lightdetectionandranging; LiDAR A system that emits a laser beam and receives echoes to obtain target three-dimensional information. [GB/T 14950-2009, definition 4.150] 3.2 Point cloud pointcloud A collection of points that are distributed in a three-dimensional space in a discrete, irregular manner. [CH/T 8023-2011, Definition 3.3] 3.3 LiDAR pointcloud The point cloud obtained by scanning with Lidar. [CH/T 8023-2011, definition 3.4] 3.4 Point cloud density of densityofpointcloud The elevation direction is the normal direction, and the average number of laser spots in a point cloud per unit area. Note. Rewrite CH/T 8023-2011, Definition 3.5 3.5 Point cloud outlierofpointcloud The outliers in the laser radar point cloud data that do not belong to the surface laser point.

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