测绘通报 ›› 2016, Vol. 0 ›› Issue (2): 79-83.doi: 10.13474/j.cnki.11-2246.2016.0054.
Previous Articles Next Articles
XU Shouzhi1,3, CHENG Pengfei2, ZHANG Yu4, DING Penghui3
Received:2015-11-06
Online:2016-02-25
Published:2016-03-08
CLC Number:
XU Shouzhi, CHENG Pengfei, ZHANG Yu, DING Penghui. Calibration and Accuracy Evaluation of Terrestrial Laser Scanner[J]. 测绘通报, 2016, 0(2): 79-83.
| [1] 刘春,张藴灵,吴杭彬.地面三维激光扫描仪的检校与精度评估[J].工程勘察,2009(11):56-60. [2] 陈西江,花向红,邱卫宁,等.点云角度分辨率精度评定[J].武汉大学学报(信息科学版),2013,38(9):1044-1047. [3] 王守国.地面激光扫描仪鉴别率检定方法的研究[J].测绘通报,2011(6):45-47. [4] 赵松,西勤,刘松林,等.基于回光强度的地面三维激光扫描仪测距误差模型[J].测绘科学,2013,38(3):169-174. [5] POLO M, FELICISIMO A M, VILLANUEVA A G, et al. Estimating the Uncertainty of Terrestrial Laser Scanner Measurements[J]. IEEE Transactions on Geoscience and Remote Sensing,2012,50(11):4804-4808. [6] LICHTI D D. Terrestrial Laser Scanner Self-calibration: Correlation Sources and Their Mitigation[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2010, 65(1): 93-102. [7] RESHETYUK Y. An Unified Approach to Self-calibration of Terrestrial Laser Scanners[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2010, 65(5): 93-102. [8] PAREJA T F, PABLOS A G, OLIVA J V Y. Terrestrial Laser Scanner (TLS) Equipment Calibration[J]. Procedia Engineering, 2013(63):278-286. [9] 张启福.地面三维激光扫描仪性能测试方法研究[D].郑州:信息工程大学,2012. [10] 王玉鹏,卢小平,葛晓天,等.地面三维激光扫描点位精度评定[J].测绘通报,2011(4):10-13. [11] 张永彬,高祥伟,谢宏全,等.地面三维激光扫描仪距离测量精度试验研究[J].测绘通报,2014(12):16-19. |
| [1] | WANG Yanjun, LIN Yunhao, WANG Shuhan, LI Shaochun, WANG Mengjie. 3D road boundary extraction based on mobile laser scanning point clouds and OSM data [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 18-25. |
| [2] | LIU Lin, SUN Yi, LI Wanwu. Detection model construction based on CNN for offshore drilling platform and training algorithm analysis [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 26-32,99. |
| [3] | KONG Ruiyao, XIE Tao, MA Ming, KONG Ruilin. Application of CatBoost model in water depth inversion [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 33-37. |
| [4] | WEN Yuxiao, Lü Jie, MA Qingxun, ZHANG Peng, XU Ruling. Study on inversion of forest biomass by LiDAR and hyperspectral [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 38-42. |
| [5] | JIANG Zelin, DENG Jian, LUAN Haijun, LI Lanhui. Rapid extraction of COVID-19 information based on nighttime light remote sensing: a case study of Beijing [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 43-48. |
| [6] | ZHENG Yan, HE Huan, BU Lijing, JIN Xin. Super-resolution reconstruction method based on self-similarity and edge-preserving decomposition [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 54-59. |
| [7] | RAN Chongxian, LI Senlei. Tree canopy delineation using UAV multispectral imagery [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 112-117. |
| [8] | LIU Li, DONG Xianmin, LIU Juan, WEN Xuehu. A new method of remote sensing interpretation production based on integration of human-machine and intelligence [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 118-123,137. |
| [9] | AI Min, JING Hui, TIAN Yudong, GUO Lanqin, PEI Yuanjie. Analysis of land use and coverage change and driving force in Hulan district of Harbin city in recent 20 Years [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 124-128. |
| [10] | LIU Yuxian, RUAN Minghao, YAN Zhen. A method for accurate extraction of gated electric towers based on airborne laser point cloud [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 129-133. |
| [11] | LIU Guochao, PENG Weiping, YANG Shuihua, HU Zhouwen. Detection and application of urban road disease based on ground penetrating radar+3D measuring endoscope [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 134-137. |
| [12] | LIU Xiaoyu, LIU Yang, DU Mingyi, ZHANG Min, JIA Jingjue, YANG Heng. Research on construction and demolition waste stacking point identification based on DeeplabV3+ [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 16-19,43. |
| [13] | LI Jiahao, ZHOU Lü, MA Jun, YANG Fei, XIAN Lingxiao. Deformation monitoring and mechanism analysis of urban subway line based on PS-InSAR technology [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 20-25. |
| [14] | SHI Yun, SHI Longlong, NIU Minjie, ZHAO Kan. Multi-task automatic identification of loess landslide based on one-stage instance segmentation network [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 26-31. |
| [15] | DOU Shiqing, CHEN Zhiyu, XU Yong, ZHENG Hegang, MIAO Linlin, SONG Yingying. Hyperspectral image classification based on multi-feature fusion and dimensionality reduction algorithms [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 32-36,50. |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||
