测绘通报 ›› 2016, Vol. 0 ›› Issue (9): 17-19,34.doi: 10.13474/j.cnki.11-2246.2016.0283
Previous Articles Next Articles
GONG Zhen1,2, HU Youjian2, DONG Heng1, LI Hua1
Received:
2015-12-10
Revised:
2016-06-20
Online:
2016-09-25
Published:
2016-09-28
Contact:
董恒
CLC Number:
GONG Zhen, HU Youjian, DONG Heng, LI Hua. Research on Disorder 3D Point Clouds Reconstruction Technology[J]. 测绘通报, 2016, 0(9): 17-19,34.
[1] 樊宇,王宇楠.三维激光扫描点云数据预处理技术研究[J].科技创新导报,2011(32):27-28. [2] 吕琼琼.激光雷达点云数据的三维建模技术[D].北京:北京交通大学, 2009. [3] 梁群仙,许宏丽.一种基于点云数据的快速曲面重构方法[J].计算机工程学报(图形图像处理),2013,39(2):238-240. [4] 梁锡坤.B 样条类曲线曲面理论及其应用研究[D].合肥:合肥工业大学,2003. [5] 喜文飞.激光点云数据压缩的精简研究[D].昆明:昆明理工大学,2012. [6] 赵俭辉,龙成江,丁乙华,等.一种基于立方体小栅格的K邻域快速搜索算法[J].武汉大学学报(信息科学版),2009(5):615-618. [7] 刘越华,廖文和,刘浩.逆向工程中散乱点云的K邻域搜索算法研究[J].机械设计与制造,2012(3):256-258. [8] 孟娜.基于激光扫描点云的数据处理技术研究[D].济南:山东大学,2011. [9] 黄文明,肖朝霞,温佩芝,等.保留边界的点云简化方法[J].计算机应用,2010(2):348-350. [10] 杨楠,校江超,王明海.利用点云数据的法矢及曲率估算[J].现代制造工程,2010(7):35-37. [11] 卢小平,王宇飞,杜耀刚,等.利用点云构建隧道断面的形变监测方法[J].测绘通报,2016(1):80-83. [12] 李珵, 卢小平, 朱宁宁, 等.基于激光点云的隧道断面连续提取与形变分析方法[J].测绘学报,2015,44(9):1056-1062. |
[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 |
|
|||||